1 Abstract

Macarron is a workflow to systematically annotate and prioritize potentially bioactive (and often unannotated) small molecules in microbial community metabolomic datasets. Macarron prioritizes metabolic features as potentially bioactive in a phenotype/condition of interest using a combination of (a) covariance with annotated metabolites, (b) ecological properties such as abundance with respect to covarying annotated compounds, and (c) differential abundance in the phenotype/condition of interest.

If you have questions, please direct it to: Macarron Forum

2 Installation

Macarron requires R version 4.2.0 or higher. Install Bioconductor and then install Macarron:

if(!requireNamespace("BiocManager", quietly = TRUE))
    install.packages("BiocManager")
BiocManager::install("Macarron")

3 Running Macarron

Macarron can be run from the command line or as an R function. Both methods require the same arguments, have the same options, and use the same default settings. The package includes the wrapper Macarron() as well as functions which perform different steps in the Macarron framework.

3.1 Input CSV files

Macarron requires 4 comma-separated, appropriately formatted input files. The files and their formatting constraints are described below.

Metabolic features abundances
- Must contain features in rows and samples in columns.
- First column must identify features.
Metabolic features annotations
- Must contain features in rows and annotations in columns.
- First column must identify features.
- Second column must contain either HMDB ID or PubChem Compound Identifier (CID).
- Third column must contain the name of the metabolite.
- Fourth column must contain a continuous chemical property such as m/z or RT or shift/ppm.
- Other annotations such as RT, m/z or other identifiers can be listed column 4 onward.
Sample metadata
- Must contain samples in rows and metadata in columns.
- First column must identify samples.
- Second column must contain categorical metadata relevant to prioritization such as phenotypes, exposures or environments.
Chemical taxonomy
- First column must contain the HMDB ID or PubChem CID. IDs must be consistent between annotation and taxonomy files.
- Second and third columns must contain chemical subclass and class of the respective metabolite.

If you do not have the chemical taxonomy file, you can generate this file using the annotation dataframe and Macarron utility decorate_ID (see Advanced Topics).

3.2 Output Files

By default, all files will be stored in a folder named Macarron_output inside the current working directory. The main prioritization results are stored in prioritized_metabolites_all.csv. Another file, prioritized_metabolites_characterizable.csv is a subset of prioritized_metabolites_all.csv and only contains metabolic features which covary with at least one annotated metabolite. The columns in these output files are:

Feature_index: Lists the identifier of the metabolic feature found in column 1 of abundance and annotation files.
HMDB_ID (or PubChem ID): Public database identifier from column 2 of annotation file (column 1 of annotation dataframe).
Metabolite name: From column 2 of annotation dataframe.
mz: The continuous numerical chemical property from column 3 of the annotation dataframe.
Priority_score: 1 indicates most prioritized. It is the percentile from the meta-rank of AVA, q-value and effect size.
Status: Direction of perturbation (differential abundance) in the phenotype (or environment) of interest compared to reference phenotype.
Module: ID of the covariance module a metabolic feature is a member of. Module = 0 indicates a singleton i.e., a metabolic feature that is not assigned to any module.
Anchor (of a module): Metabolic feature that has the highest abundance in any phenotype.
Related_classes: Chemical taxonomy of the annotated features that covary with a metabolic feature.
Covaries_with_standard: 1 (yes) and 0 (no). Column specifies if the metabolic feature covaries with at least one annotated (standard) metabolite.
AVA: Abundance versus anchor which is a ratio of the highest abundance (in any phenotype) of a metabolic feature and highest abundance of the covarying anchor. Naturally, the AVA of an anchor metabolite is 1.
qvalue: Estimated from multivariate linear model using Maaslin2.
effect_size
Remaining columns from the annotation dataframe are appended.

3.3 Run a demo in R

3.3.1 Using CSV files as inputs

Example (demo) input files can be found under inst/extdata folder of the Macarron source. These files were generated from the PRISM study of stool metabolomes of individuals with inflammatory bowel disease (IBD) and healthy “Control” individuals. Control and IBD are the two phenotypes in this example. Macarron will be applied to prioritize metabolic features with respect to their bioactivity in IBD. Therefore, in this example, the phenotype of interest is “IBD” and the reference phenotype is “Control”. The four input files are demo_abundances.csv, demo_annotations.csv, demo_metadata.csv, and demo_taxonomy.csv.

library(Macarron)

## Loading required package: SummarizedExperiment

## Loading required package: MatrixGenerics

## Loading required package: matrixStats

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## Attaching package: 'MatrixGenerics'

## The following objects are masked from 'package:matrixStats':
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## Attaching package: 'Biobase'

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prism_abundances <- system.file(
    'extdata','demo_abundances.csv', package="Macarron")
prism_annotations <-system.file(
    'extdata','demo_annotations.csv', package="Macarron")
prism_metadata <-system.file(
    'extdata','demo_metadata.csv', package="Macarron")
mets_taxonomy <-system.file(
    'extdata','demo_taxonomy.csv', package="Macarron")
prism_prioritized <- Macarron::Macarron(input_abundances = prism_abundances,
                                        input_annotations = prism_annotations,
                                        input_metadata = prism_metadata,
                                        input_taxonomy = mets_taxonomy)

## 2025-04-14 17:58:45.291812 INFO::Creating output folder.
## 2025-04-14 17:58:45.305085 INFO::Writing function arguments to log file

## Samples with both abundances and metadata: 102

## 2025-04-14 17:58:45.367534 INFO::Summarized Experiment created.
## 2025-04-14 17:58:45.369298 INFO::Metadata chosen for prevalence filtering: diagnosis

## 869 features pass chosen minimum prevalence threshold of 0.7.

## Calculating pairwise correlations in phenotype: IBD

##

## Calculating pairwise correlations in phenotype: Control

## Distance matrix with 869 features created.

## 2025-04-14 17:58:49.734885 INFO::Distance matrix with 869 metabolic features created.

## Initiating module detection

## 2025-04-14 17:58:49.736467 INFO::Minimum module size used for this dataset: 10

## Tree constructed

## Evaluating measures of success

##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
##  ..cutHeight not given, setting it to 0.99  ===>  99% of the (truncated) height range in dendro.
##  ..done.
## 2025-04-14 17:58:51.196857 INFO::Total number of modules detected: 30

## Initiating AVA calculations

## Finding anchors

## Calculating AVA

## Initiating q-value calculations

## [1] "Creating output folder"
## [1] "Creating output feature tables folder"
## [1] "Creating output fits folder"
## [1] "Creating output figures folder"
## 2025-04-14 17:58:53.316176 INFO::Writing function arguments to log file
## 2025-04-14 17:58:53.32151 INFO::Verifying options selected are valid
## 2025-04-14 17:58:53.362182 INFO::Determining format of input files
## 2025-04-14 17:58:53.363259 INFO::Input format is data samples as columns and metadata samples as rows
## 2025-04-14 17:58:53.378398 INFO::Formula for fixed effects: expr ~  diagnosis + age + antibiotics
## 2025-04-14 17:58:53.379813 INFO::Filter data based on min abundance and min prevalence
## 2025-04-14 17:58:53.380493 INFO::Total samples in data: 102
## 2025-04-14 17:58:53.381133 INFO::Min samples required with min abundance for a feature not to be filtered: 0.000000
## 2025-04-14 17:58:53.392691 INFO::Total filtered features: 0
## 2025-04-14 17:58:53.393654 INFO::Filtered feature names from abundance and prevalence filtering:
## 2025-04-14 17:58:53.411166 INFO::Total filtered features with variance filtering: 0
## 2025-04-14 17:58:53.412283 INFO::Filtered feature names from variance filtering:
## 2025-04-14 17:58:53.412962 INFO::Running selected normalization method: NONE
## 2025-04-14 17:58:53.413659 INFO::Applying z-score to standardize continuous metadata
## 2025-04-14 17:58:53.435146 INFO::Running selected transform method: NONE
## 2025-04-14 17:58:53.436102 INFO::Running selected analysis method: LM
## 2025-04-14 17:58:53.441219 INFO::Fitting model to feature number 1, F1
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## 2025-04-14 17:58:53.982137 INFO::Fitting model to feature number 160, F166
## 2025-04-14 17:58:53.985415 INFO::Fitting model to feature number 161, F167
## 2025-04-14 17:58:53.988719 INFO::Fitting model to feature number 162, F168
## 2025-04-14 17:58:53.992015 INFO::Fitting model to feature number 163, F169
## 2025-04-14 17:58:53.995291 INFO::Fitting model to feature number 164, F170
## 2025-04-14 17:58:53.998555 INFO::Fitting model to feature number 165, F171
## 2025-04-14 17:58:54.001826 INFO::Fitting model to feature number 166, F172
## 2025-04-14 17:58:54.005152 INFO::Fitting model to feature number 167, F173
## 2025-04-14 17:58:54.008425 INFO::Fitting model to feature number 168, F174
## 2025-04-14 17:58:54.011689 INFO::Fitting model to feature number 169, F175
## 2025-04-14 17:58:54.015061 INFO::Fitting model to feature number 170, F176
## 2025-04-14 17:58:54.018476 INFO::Fitting model to feature number 171, F177
## 2025-04-14 17:58:54.073163 INFO::Fitting model to feature number 172, F178
## 2025-04-14 17:58:54.07711 INFO::Fitting model to feature number 173, F179
## 2025-04-14 17:58:54.080569 INFO::Fitting model to feature number 174, F180
## 2025-04-14 17:58:54.083925 INFO::Fitting model to feature number 175, F181
## 2025-04-14 17:58:54.087233 INFO::Fitting model to feature number 176, F182
## 2025-04-14 17:58:54.090514 INFO::Fitting model to feature number 177, F183
## 2025-04-14 17:58:54.093794 INFO::Fitting model to feature number 178, F184
## 2025-04-14 17:58:54.097084 INFO::Fitting model to feature number 179, F185
## 2025-04-14 17:58:54.100379 INFO::Fitting model to feature number 180, F186
## 2025-04-14 17:58:54.103676 INFO::Fitting model to feature number 181, F187
## 2025-04-14 17:58:54.106956 INFO::Fitting model to feature number 182, F188
## 2025-04-14 17:58:54.110206 INFO::Fitting model to feature number 183, F189
## 2025-04-14 17:58:54.113445 INFO::Fitting model to feature number 184, F190
## 2025-04-14 17:58:54.116675 INFO::Fitting model to feature number 185, F191
## 2025-04-14 17:58:54.119936 INFO::Fitting model to feature number 186, F192
## 2025-04-14 17:58:54.123123 INFO::Fitting model to feature number 187, F193
## 2025-04-14 17:58:54.126363 INFO::Fitting model to feature number 188, F194
## 2025-04-14 17:58:54.129594 INFO::Fitting model to feature number 189, F195
## 2025-04-14 17:58:54.132836 INFO::Fitting model to feature number 190, F196
## 2025-04-14 17:58:54.13606 INFO::Fitting model to feature number 191, F197
## 2025-04-14 17:58:54.1393 INFO::Fitting model to feature number 192, F198
## 2025-04-14 17:58:54.14255 INFO::Fitting model to feature number 193, F199
## 2025-04-14 17:58:54.145788 INFO::Fitting model to feature number 194, F200
## 2025-04-14 17:58:54.149033 INFO::Fitting model to feature number 195, F201
## 2025-04-14 17:58:54.152263 INFO::Fitting model to feature number 196, F202
## 2025-04-14 17:58:54.155495 INFO::Fitting model to feature number 197, F203
## 2025-04-14 17:58:54.158736 INFO::Fitting model to feature number 198, F204
## 2025-04-14 17:58:54.161991 INFO::Fitting model to feature number 199, F206
## 2025-04-14 17:58:54.165231 INFO::Fitting model to feature number 200, F207
## 2025-04-14 17:58:54.168474 INFO::Fitting model to feature number 201, F208
## 2025-04-14 17:58:54.171656 INFO::Fitting model to feature number 202, F209
## 2025-04-14 17:58:54.174923 INFO::Fitting model to feature number 203, F210
## 2025-04-14 17:58:54.178146 INFO::Fitting model to feature number 204, F211
## 2025-04-14 17:58:54.181371 INFO::Fitting model to feature number 205, F212
## 2025-04-14 17:58:54.184613 INFO::Fitting model to feature number 206, F213
## 2025-04-14 17:58:54.187833 INFO::Fitting model to feature number 207, F214
## 2025-04-14 17:58:54.191073 INFO::Fitting model to feature number 208, F215
## 2025-04-14 17:58:54.194297 INFO::Fitting model to feature number 209, F216
## 2025-04-14 17:58:54.197519 INFO::Fitting model to feature number 210, F217
## 2025-04-14 17:58:54.20074 INFO::Fitting model to feature number 211, F218
## 2025-04-14 17:58:54.203983 INFO::Fitting model to feature number 212, F219
## 2025-04-14 17:58:54.2072 INFO::Fitting model to feature number 213, F220
## 2025-04-14 17:58:54.210428 INFO::Fitting model to feature number 214, F221
## 2025-04-14 17:58:54.213662 INFO::Fitting model to feature number 215, F222
## 2025-04-14 17:58:54.216895 INFO::Fitting model to feature number 216, F223
## 2025-04-14 17:58:54.220132 INFO::Fitting model to feature number 217, F224
## 2025-04-14 17:58:54.223341 INFO::Fitting model to feature number 218, F225
## 2025-04-14 17:58:54.226547 INFO::Fitting model to feature number 219, F226
## 2025-04-14 17:58:54.229787 INFO::Fitting model to feature number 220, F227
## 2025-04-14 17:58:54.233029 INFO::Fitting model to feature number 221, F228
## 2025-04-14 17:58:54.236245 INFO::Fitting model to feature number 222, F229
## 2025-04-14 17:58:54.239467 INFO::Fitting model to feature number 223, F230
## 2025-04-14 17:58:54.242707 INFO::Fitting model to feature number 224, F231
## 2025-04-14 17:58:54.245965 INFO::Fitting model to feature number 225, F232
## 2025-04-14 17:58:54.249215 INFO::Fitting model to feature number 226, F233
## 2025-04-14 17:58:54.25247 INFO::Fitting model to feature number 227, F234
## 2025-04-14 17:58:54.255747 INFO::Fitting model to feature number 228, F235
## 2025-04-14 17:58:54.259035 INFO::Fitting model to feature number 229, F236
## 2025-04-14 17:58:54.262295 INFO::Fitting model to feature number 230, F237
## 2025-04-14 17:58:54.265582 INFO::Fitting model to feature number 231, F238
## 2025-04-14 17:58:54.268822 INFO::Fitting model to feature number 232, F239
## 2025-04-14 17:58:54.272048 INFO::Fitting model to feature number 233, F240
## 2025-04-14 17:58:54.275279 INFO::Fitting model to feature number 234, F241
## 2025-04-14 17:58:54.278511 INFO::Fitting model to feature number 235, F242
## 2025-04-14 17:58:54.281736 INFO::Fitting model to feature number 236, F243
## 2025-04-14 17:58:54.284916 INFO::Fitting model to feature number 237, F244
## 2025-04-14 17:58:54.288169 INFO::Fitting model to feature number 238, F245
## 2025-04-14 17:58:54.291424 INFO::Fitting model to feature number 239, F246
## 2025-04-14 17:58:54.294662 INFO::Fitting model to feature number 240, F247
## 2025-04-14 17:58:54.297885 INFO::Fitting model to feature number 241, F248
## 2025-04-14 17:58:54.301131 INFO::Fitting model to feature number 242, F249
## 2025-04-14 17:58:54.304411 INFO::Fitting model to feature number 243, F250
## 2025-04-14 17:58:54.307665 INFO::Fitting model to feature number 244, F252
## 2025-04-14 17:58:54.310924 INFO::Fitting model to feature number 245, F253
## 2025-04-14 17:58:54.314182 INFO::Fitting model to feature number 246, F254
## 2025-04-14 17:58:54.317426 INFO::Fitting model to feature number 247, F255
## 2025-04-14 17:58:54.320666 INFO::Fitting model to feature number 248, F256
## 2025-04-14 17:58:54.323893 INFO::Fitting model to feature number 249, F257
## 2025-04-14 17:58:54.327123 INFO::Fitting model to feature number 250, F259
## 2025-04-14 17:58:54.330348 INFO::Fitting model to feature number 251, F260
## 2025-04-14 17:58:54.333557 INFO::Fitting model to feature number 252, F261
## 2025-04-14 17:58:54.3368 INFO::Fitting model to feature number 253, F262
## 2025-04-14 17:58:54.340033 INFO::Fitting model to feature number 254, F263
## 2025-04-14 17:58:54.343269 INFO::Fitting model to feature number 255, F264
## 2025-04-14 17:58:54.346504 INFO::Fitting model to feature number 256, F265
## 2025-04-14 17:58:54.349755 INFO::Fitting model to feature number 257, F266
## 2025-04-14 17:58:54.353007 INFO::Fitting model to feature number 258, F267
## 2025-04-14 17:58:54.356257 INFO::Fitting model to feature number 259, F269
## 2025-04-14 17:58:54.35952 INFO::Fitting model to feature number 260, F270
## 2025-04-14 17:58:54.362777 INFO::Fitting model to feature number 261, F271
## 2025-04-14 17:58:54.366035 INFO::Fitting model to feature number 262, F272
## 2025-04-14 17:58:54.369282 INFO::Fitting model to feature number 263, F273
## 2025-04-14 17:58:54.372515 INFO::Fitting model to feature number 264, F274
## 2025-04-14 17:58:54.375733 INFO::Fitting model to feature number 265, F276
## 2025-04-14 17:58:54.378978 INFO::Fitting model to feature number 266, F277
## 2025-04-14 17:58:54.382217 INFO::Fitting model to feature number 267, F278
## 2025-04-14 17:58:54.385476 INFO::Fitting model to feature number 268, F279
## 2025-04-14 17:58:54.388736 INFO::Fitting model to feature number 269, F280
## 2025-04-14 17:58:54.392014 INFO::Fitting model to feature number 270, F281
## 2025-04-14 17:58:54.395236 INFO::Fitting model to feature number 271, F282
## 2025-04-14 17:58:54.398475 INFO::Fitting model to feature number 272, F283
## 2025-04-14 17:58:54.401718 INFO::Fitting model to feature number 273, F284
## 2025-04-14 17:58:54.404966 INFO::Fitting model to feature number 274, F285
## 2025-04-14 17:58:54.408195 INFO::Fitting model to feature number 275, F286
## 2025-04-14 17:58:54.411426 INFO::Fitting model to feature number 276, F287
## 2025-04-14 17:58:54.414671 INFO::Fitting model to feature number 277, F288
## 2025-04-14 17:58:54.417916 INFO::Fitting model to feature number 278, F289
## 2025-04-14 17:58:54.421171 INFO::Fitting model to feature number 279, F290
## 2025-04-14 17:58:54.424515 INFO::Fitting model to feature number 280, F292
## 2025-04-14 17:58:54.427823 INFO::Fitting model to feature number 281, F293
## 2025-04-14 17:58:54.431119 INFO::Fitting model to feature number 282, F294
## 2025-04-14 17:58:54.434385 INFO::Fitting model to feature number 283, F295
## 2025-04-14 17:58:54.437654 INFO::Fitting model to feature number 284, F296
## 2025-04-14 17:58:54.440922 INFO::Fitting model to feature number 285, F297
## 2025-04-14 17:58:54.444193 INFO::Fitting model to feature number 286, F298
## 2025-04-14 17:58:54.447469 INFO::Fitting model to feature number 287, F299
## 2025-04-14 17:58:54.450734 INFO::Fitting model to feature number 288, F300
## 2025-04-14 17:58:54.454039 INFO::Fitting model to feature number 289, F301
## 2025-04-14 17:58:54.457295 INFO::Fitting model to feature number 290, F302
## 2025-04-14 17:58:54.460588 INFO::Fitting model to feature number 291, F303
## 2025-04-14 17:58:54.463987 INFO::Fitting model to feature number 292, F304
## 2025-04-14 17:58:54.46728 INFO::Fitting model to feature number 293, F305
## 2025-04-14 17:58:54.470543 INFO::Fitting model to feature number 294, F306
## 2025-04-14 17:58:54.473833 INFO::Fitting model to feature number 295, F307
## 2025-04-14 17:58:54.477125 INFO::Fitting model to feature number 296, F308
## 2025-04-14 17:58:54.480393 INFO::Fitting model to feature number 297, F309
## 2025-04-14 17:58:54.483634 INFO::Fitting model to feature number 298, F310
## 2025-04-14 17:58:54.486871 INFO::Fitting model to feature number 299, F311
## 2025-04-14 17:58:54.490105 INFO::Fitting model to feature number 300, F312
## 2025-04-14 17:58:54.493344 INFO::Fitting model to feature number 301, F313
## 2025-04-14 17:58:54.496654 INFO::Fitting model to feature number 302, F315
## 2025-04-14 17:58:54.499933 INFO::Fitting model to feature number 303, F316
## 2025-04-14 17:58:54.503226 INFO::Fitting model to feature number 304, F317
## 2025-04-14 17:58:54.506504 INFO::Fitting model to feature number 305, F318
## 2025-04-14 17:58:54.509747 INFO::Fitting model to feature number 306, F319
## 2025-04-14 17:58:54.513009 INFO::Fitting model to feature number 307, F320
## 2025-04-14 17:58:54.516253 INFO::Fitting model to feature number 308, F321
## 2025-04-14 17:58:54.519507 INFO::Fitting model to feature number 309, F322
## 2025-04-14 17:58:54.522735 INFO::Fitting model to feature number 310, F323
## 2025-04-14 17:58:54.526028 INFO::Fitting model to feature number 311, F324
## 2025-04-14 17:58:54.529264 INFO::Fitting model to feature number 312, F325
## 2025-04-14 17:58:54.532504 INFO::Fitting model to feature number 313, F326
## 2025-04-14 17:58:54.53577 INFO::Fitting model to feature number 314, F327
## 2025-04-14 17:58:54.539043 INFO::Fitting model to feature number 315, F328
## 2025-04-14 17:58:54.542315 INFO::Fitting model to feature number 316, F329
## 2025-04-14 17:58:54.54557 INFO::Fitting model to feature number 317, F330
## 2025-04-14 17:58:54.548853 INFO::Fitting model to feature number 318, F331
## 2025-04-14 17:58:54.552155 INFO::Fitting model to feature number 319, F332
## 2025-04-14 17:58:54.55551 INFO::Fitting model to feature number 320, F333
## 2025-04-14 17:58:54.558843 INFO::Fitting model to feature number 321, F334
## 2025-04-14 17:58:54.562101 INFO::Fitting model to feature number 322, F335
## 2025-04-14 17:58:54.565414 INFO::Fitting model to feature number 323, F336
## 2025-04-14 17:58:54.56877 INFO::Fitting model to feature number 324, F337
## 2025-04-14 17:58:54.572067 INFO::Fitting model to feature number 325, F338
## 2025-04-14 17:58:54.575354 INFO::Fitting model to feature number 326, F339
## 2025-04-14 17:58:54.578642 INFO::Fitting model to feature number 327, F340
## 2025-04-14 17:58:54.581921 INFO::Fitting model to feature number 328, F342
## 2025-04-14 17:58:54.58522 INFO::Fitting model to feature number 329, F343
## 2025-04-14 17:58:54.588515 INFO::Fitting model to feature number 330, F344
## 2025-04-14 17:58:54.591844 INFO::Fitting model to feature number 331, F345
## 2025-04-14 17:58:54.59515 INFO::Fitting model to feature number 332, F346
## 2025-04-14 17:58:54.598428 INFO::Fitting model to feature number 333, F347
## 2025-04-14 17:58:54.601716 INFO::Fitting model to feature number 334, F348
## 2025-04-14 17:58:54.605012 INFO::Fitting model to feature number 335, F350
## 2025-04-14 17:58:54.608332 INFO::Fitting model to feature number 336, F351
## 2025-04-14 17:58:54.611634 INFO::Fitting model to feature number 337, F352
## 2025-04-14 17:58:54.614947 INFO::Fitting model to feature number 338, F353
## 2025-04-14 17:58:54.618275 INFO::Fitting model to feature number 339, F355
## 2025-04-14 17:58:54.621606 INFO::Fitting model to feature number 340, F356
## 2025-04-14 17:58:54.624954 INFO::Fitting model to feature number 341, F357
## 2025-04-14 17:58:54.628273 INFO::Fitting model to feature number 342, F358
## 2025-04-14 17:58:54.631617 INFO::Fitting model to feature number 343, F359
## 2025-04-14 17:58:54.634952 INFO::Fitting model to feature number 344, F360
## 2025-04-14 17:58:54.638264 INFO::Fitting model to feature number 345, F361
## 2025-04-14 17:58:54.641585 INFO::Fitting model to feature number 346, F362
## 2025-04-14 17:58:54.644917 INFO::Fitting model to feature number 347, F363
## 2025-04-14 17:58:54.648279 INFO::Fitting model to feature number 348, F364
## 2025-04-14 17:58:54.651607 INFO::Fitting model to feature number 349, F365
## 2025-04-14 17:58:54.654927 INFO::Fitting model to feature number 350, F366
## 2025-04-14 17:58:54.658257 INFO::Fitting model to feature number 351, F367
## 2025-04-14 17:58:54.661582 INFO::Fitting model to feature number 352, F368
## 2025-04-14 17:58:54.664914 INFO::Fitting model to feature number 353, F369
## 2025-04-14 17:58:54.668247 INFO::Fitting model to feature number 354, F370
## 2025-04-14 17:58:54.671504 INFO::Fitting model to feature number 355, F371
## 2025-04-14 17:58:54.674834 INFO::Fitting model to feature number 356, F372
## 2025-04-14 17:58:54.678176 INFO::Fitting model to feature number 357, F373
## 2025-04-14 17:58:54.681518 INFO::Fitting model to feature number 358, F374
## 2025-04-14 17:58:54.68486 INFO::Fitting model to feature number 359, F375
## 2025-04-14 17:58:54.688207 INFO::Fitting model to feature number 360, F376
## 2025-04-14 17:58:54.691557 INFO::Fitting model to feature number 361, F377
## 2025-04-14 17:58:54.694939 INFO::Fitting model to feature number 362, F378
## 2025-04-14 17:58:54.698279 INFO::Fitting model to feature number 363, F379
## 2025-04-14 17:58:54.701611 INFO::Fitting model to feature number 364, F380
## 2025-04-14 17:58:54.704973 INFO::Fitting model to feature number 365, F381
## 2025-04-14 17:58:54.716737 INFO::Fitting model to feature number 366, F382
## 2025-04-14 17:58:54.721433 INFO::Fitting model to feature number 367, F383
## 2025-04-14 17:58:54.724994 INFO::Fitting model to feature number 368, F384
## 2025-04-14 17:58:54.728493 INFO::Fitting model to feature number 369, F386
## 2025-04-14 17:58:54.731912 INFO::Fitting model to feature number 370, F387
## 2025-04-14 17:58:54.735234 INFO::Fitting model to feature number 371, F388
## 2025-04-14 17:58:54.738613 INFO::Fitting model to feature number 372, F389
## 2025-04-14 17:58:54.742001 INFO::Fitting model to feature number 373, F390
## 2025-04-14 17:58:54.745449 INFO::Fitting model to feature number 374, F391
## 2025-04-14 17:58:54.74897 INFO::Fitting model to feature number 375, F392
## 2025-04-14 17:58:54.752576 INFO::Fitting model to feature number 376, F393
## 2025-04-14 17:58:54.756236 INFO::Fitting model to feature number 377, F394
## 2025-04-14 17:58:54.759963 INFO::Fitting model to feature number 378, F395
## 2025-04-14 17:58:54.763691 INFO::Fitting model to feature number 379, F396
## 2025-04-14 17:58:54.767427 INFO::Fitting model to feature number 380, F397
## 2025-04-14 17:58:54.771044 INFO::Fitting model to feature number 381, F398
## 2025-04-14 17:58:54.774602 INFO::Fitting model to feature number 382, F399
## 2025-04-14 17:58:54.778149 INFO::Fitting model to feature number 383, F400
## 2025-04-14 17:58:54.781635 INFO::Fitting model to feature number 384, F401
## 2025-04-14 17:58:54.7851 INFO::Fitting model to feature number 385, F402
## 2025-04-14 17:58:54.788534 INFO::Fitting model to feature number 386, F403
## 2025-04-14 17:58:54.791943 INFO::Fitting model to feature number 387, F404
## 2025-04-14 17:58:54.795373 INFO::Fitting model to feature number 388, F406
## 2025-04-14 17:58:54.798787 INFO::Fitting model to feature number 389, F407
## 2025-04-14 17:58:54.802188 INFO::Fitting model to feature number 390, F408
## 2025-04-14 17:58:54.805565 INFO::Fitting model to feature number 391, F409
## 2025-04-14 17:58:54.808929 INFO::Fitting model to feature number 392, F410
## 2025-04-14 17:58:54.812286 INFO::Fitting model to feature number 393, F411
## 2025-04-14 17:58:54.815631 INFO::Fitting model to feature number 394, F412
## 2025-04-14 17:58:54.819003 INFO::Fitting model to feature number 395, F413
## 2025-04-14 17:58:54.822355 INFO::Fitting model to feature number 396, F414
## 2025-04-14 17:58:54.825704 INFO::Fitting model to feature number 397, F415
## 2025-04-14 17:58:54.829055 INFO::Fitting model to feature number 398, F416
## 2025-04-14 17:58:54.832393 INFO::Fitting model to feature number 399, F417
## 2025-04-14 17:58:54.835732 INFO::Fitting model to feature number 400, F418
## 2025-04-14 17:58:54.839097 INFO::Fitting model to feature number 401, F419
## 2025-04-14 17:58:54.842451 INFO::Fitting model to feature number 402, F420
## 2025-04-14 17:58:54.845797 INFO::Fitting model to feature number 403, F421
## 2025-04-14 17:58:54.849144 INFO::Fitting model to feature number 404, F422
## 2025-04-14 17:58:54.852496 INFO::Fitting model to feature number 405, F423
## 2025-04-14 17:58:54.855844 INFO::Fitting model to feature number 406, F425
## 2025-04-14 17:58:54.85921 INFO::Fitting model to feature number 407, F426
## 2025-04-14 17:58:54.86258 INFO::Fitting model to feature number 408, F428
## 2025-04-14 17:58:54.865993 INFO::Fitting model to feature number 409, F429
## 2025-04-14 17:58:54.869362 INFO::Fitting model to feature number 410, F430
## 2025-04-14 17:58:54.872728 INFO::Fitting model to feature number 411, F431
## 2025-04-14 17:58:54.876117 INFO::Fitting model to feature number 412, F432
## 2025-04-14 17:58:54.879476 INFO::Fitting model to feature number 413, F433
## 2025-04-14 17:58:54.882836 INFO::Fitting model to feature number 414, F434
## 2025-04-14 17:58:54.886209 INFO::Fitting model to feature number 415, F435
## 2025-04-14 17:58:54.88954 INFO::Fitting model to feature number 416, F436
## 2025-04-14 17:58:54.892879 INFO::Fitting model to feature number 417, F437
## 2025-04-14 17:58:54.896204 INFO::Fitting model to feature number 418, F438
## 2025-04-14 17:58:54.899543 INFO::Fitting model to feature number 419, F439
## 2025-04-14 17:58:54.902884 INFO::Fitting model to feature number 420, F440
## 2025-04-14 17:58:54.906227 INFO::Fitting model to feature number 421, F441
## 2025-04-14 17:58:54.909568 INFO::Fitting model to feature number 422, F442
## 2025-04-14 17:58:54.912906 INFO::Fitting model to feature number 423, F443
## 2025-04-14 17:58:54.91624 INFO::Fitting model to feature number 424, F444
## 2025-04-14 17:58:54.919597 INFO::Fitting model to feature number 425, F445
## 2025-04-14 17:58:54.922983 INFO::Fitting model to feature number 426, F446
## 2025-04-14 17:58:54.926342 INFO::Fitting model to feature number 427, F447
## 2025-04-14 17:58:54.929719 INFO::Fitting model to feature number 428, F448
## 2025-04-14 17:58:54.933093 INFO::Fitting model to feature number 429, F449
## 2025-04-14 17:58:54.93642 INFO::Fitting model to feature number 430, F450
## 2025-04-14 17:58:54.939764 INFO::Fitting model to feature number 431, F451
## 2025-04-14 17:58:54.943102 INFO::Fitting model to feature number 432, F452
## 2025-04-14 17:58:54.946433 INFO::Fitting model to feature number 433, F454
## 2025-04-14 17:58:54.949771 INFO::Fitting model to feature number 434, F455
## 2025-04-14 17:58:54.953131 INFO::Fitting model to feature number 435, F456
## 2025-04-14 17:58:54.956493 INFO::Fitting model to feature number 436, F457
## 2025-04-14 17:58:54.95989 INFO::Fitting model to feature number 437, F458
## 2025-04-14 17:58:54.963256 INFO::Fitting model to feature number 438, F459
## 2025-04-14 17:58:54.966614 INFO::Fitting model to feature number 439, F461
## 2025-04-14 17:58:54.969968 INFO::Fitting model to feature number 440, F462
## 2025-04-14 17:58:54.97331 INFO::Fitting model to feature number 441, F463
## 2025-04-14 17:58:54.976654 INFO::Fitting model to feature number 442, F464
## 2025-04-14 17:58:54.980006 INFO::Fitting model to feature number 443, F465
## 2025-04-14 17:58:54.983339 INFO::Fitting model to feature number 444, F466
## 2025-04-14 17:58:54.986674 INFO::Fitting model to feature number 445, F467
## 2025-04-14 17:58:54.990007 INFO::Fitting model to feature number 446, F468
## 2025-04-14 17:58:54.993343 INFO::Fitting model to feature number 447, F469
## 2025-04-14 17:58:54.996679 INFO::Fitting model to feature number 448, F470
## 2025-04-14 17:58:55.000018 INFO::Fitting model to feature number 449, F471
## 2025-04-14 17:58:55.00336 INFO::Fitting model to feature number 450, F474
## 2025-04-14 17:58:55.006706 INFO::Fitting model to feature number 451, F475
## 2025-04-14 17:58:55.010089 INFO::Fitting model to feature number 452, F476
## 2025-04-14 17:58:55.013443 INFO::Fitting model to feature number 453, F477
## 2025-04-14 17:58:55.016786 INFO::Fitting model to feature number 454, F478
## 2025-04-14 17:58:55.02014 INFO::Fitting model to feature number 455, F479
## 2025-04-14 17:58:55.023481 INFO::Fitting model to feature number 456, F480
## 2025-04-14 17:58:55.02683 INFO::Fitting model to feature number 457, F481
## 2025-04-14 17:58:55.030219 INFO::Fitting model to feature number 458, F482
## 2025-04-14 17:58:55.033562 INFO::Fitting model to feature number 459, F483
## 2025-04-14 17:58:55.036929 INFO::Fitting model to feature number 460, F484
## 2025-04-14 17:58:55.040267 INFO::Fitting model to feature number 461, F485
## 2025-04-14 17:58:55.043625 INFO::Fitting model to feature number 462, F486
## 2025-04-14 17:58:55.047 INFO::Fitting model to feature number 463, F487
## 2025-04-14 17:58:55.079039 INFO::Fitting model to feature number 464, F488
## 2025-04-14 17:58:55.084208 INFO::Fitting model to feature number 465, F489
## 2025-04-14 17:58:55.087867 INFO::Fitting model to feature number 466, F490
## 2025-04-14 17:58:55.091304 INFO::Fitting model to feature number 467, F491
## 2025-04-14 17:58:55.094716 INFO::Fitting model to feature number 468, F492
## 2025-04-14 17:58:55.098094 INFO::Fitting model to feature number 469, F493
## 2025-04-14 17:58:55.101429 INFO::Fitting model to feature number 470, F494
## 2025-04-14 17:58:55.104774 INFO::Fitting model to feature number 471, F495
## 2025-04-14 17:58:55.108087 INFO::Fitting model to feature number 472, F496
## 2025-04-14 17:58:55.111487 INFO::Fitting model to feature number 473, F497
## 2025-04-14 17:58:55.114967 INFO::Fitting model to feature number 474, F498
## 2025-04-14 17:58:55.118274 INFO::Fitting model to feature number 475, F499
## 2025-04-14 17:58:55.121575 INFO::Fitting model to feature number 476, F500
## 2025-04-14 17:58:55.124882 INFO::Fitting model to feature number 477, F501
## 2025-04-14 17:58:55.128196 INFO::Fitting model to feature number 478, F502
## 2025-04-14 17:58:55.131485 INFO::Fitting model to feature number 479, F503
## 2025-04-14 17:58:55.134761 INFO::Fitting model to feature number 480, F504
## 2025-04-14 17:58:55.138034 INFO::Fitting model to feature number 481, F505
## 2025-04-14 17:58:55.141308 INFO::Fitting model to feature number 482, F506
## 2025-04-14 17:58:55.144566 INFO::Fitting model to feature number 483, F507
## 2025-04-14 17:58:55.147813 INFO::Fitting model to feature number 484, F508
## 2025-04-14 17:58:55.151078 INFO::Fitting model to feature number 485, F509
## 2025-04-14 17:58:55.15433 INFO::Fitting model to feature number 486, F510
## 2025-04-14 17:58:55.157589 INFO::Fitting model to feature number 487, F511
## 2025-04-14 17:58:55.160851 INFO::Fitting model to feature number 488, F512
## 2025-04-14 17:58:55.164137 INFO::Fitting model to feature number 489, F513
## 2025-04-14 17:58:55.167427 INFO::Fitting model to feature number 490, F514
## 2025-04-14 17:58:55.170699 INFO::Fitting model to feature number 491, F515
## 2025-04-14 17:58:55.173984 INFO::Fitting model to feature number 492, F516
## 2025-04-14 17:58:55.17724 INFO::Fitting model to feature number 493, F517
## 2025-04-14 17:58:55.180516 INFO::Fitting model to feature number 494, F518
## 2025-04-14 17:58:55.183802 INFO::Fitting model to feature number 495, F519
## 2025-04-14 17:58:55.187068 INFO::Fitting model to feature number 496, F520
## 2025-04-14 17:58:55.190345 INFO::Fitting model to feature number 497, F521
## 2025-04-14 17:58:55.193605 INFO::Fitting model to feature number 498, F522
## 2025-04-14 17:58:55.196818 INFO::Fitting model to feature number 499, F523
## 2025-04-14 17:58:55.20011 INFO::Fitting model to feature number 500, F524
## 2025-04-14 17:58:55.203485 INFO::Fitting model to feature number 501, F525
## 2025-04-14 17:58:55.206838 INFO::Fitting model to feature number 502, F526
## 2025-04-14 17:58:55.210164 INFO::Fitting model to feature number 503, F527
## 2025-04-14 17:58:55.213439 INFO::Fitting model to feature number 504, F528
## 2025-04-14 17:58:55.216711 INFO::Fitting model to feature number 505, F529
## 2025-04-14 17:58:55.220001 INFO::Fitting model to feature number 506, F530
## 2025-04-14 17:58:55.223279 INFO::Fitting model to feature number 507, F531
## 2025-04-14 17:58:55.226557 INFO::Fitting model to feature number 508, F532
## 2025-04-14 17:58:55.229828 INFO::Fitting model to feature number 509, F533
## 2025-04-14 17:58:55.233119 INFO::Fitting model to feature number 510, F534
## 2025-04-14 17:58:55.236417 INFO::Fitting model to feature number 511, F535
## 2025-04-14 17:58:55.239704 INFO::Fitting model to feature number 512, F536
## 2025-04-14 17:58:55.242981 INFO::Fitting model to feature number 513, F537
## 2025-04-14 17:58:55.246301 INFO::Fitting model to feature number 514, F539
## 2025-04-14 17:58:55.249582 INFO::Fitting model to feature number 515, F540
## 2025-04-14 17:58:55.25291 INFO::Fitting model to feature number 516, F541
## 2025-04-14 17:58:55.256153 INFO::Fitting model to feature number 517, F543
## 2025-04-14 17:58:55.259422 INFO::Fitting model to feature number 518, F544
## 2025-04-14 17:58:55.262624 INFO::Fitting model to feature number 519, F545
## 2025-04-14 17:58:55.265944 INFO::Fitting model to feature number 520, F546
## 2025-04-14 17:58:55.269222 INFO::Fitting model to feature number 521, F547
## 2025-04-14 17:58:55.272483 INFO::Fitting model to feature number 522, F548
## 2025-04-14 17:58:55.275768 INFO::Fitting model to feature number 523, F549
## 2025-04-14 17:58:55.279098 INFO::Fitting model to feature number 524, F550
## 2025-04-14 17:58:55.282439 INFO::Fitting model to feature number 525, F551
## 2025-04-14 17:58:55.285778 INFO::Fitting model to feature number 526, F552
## 2025-04-14 17:58:55.289106 INFO::Fitting model to feature number 527, F553
## 2025-04-14 17:58:55.292396 INFO::Fitting model to feature number 528, F554
## 2025-04-14 17:58:55.295667 INFO::Fitting model to feature number 529, F555
## 2025-04-14 17:58:55.298951 INFO::Fitting model to feature number 530, F556
## 2025-04-14 17:58:55.302241 INFO::Fitting model to feature number 531, F557
## 2025-04-14 17:58:55.305481 INFO::Fitting model to feature number 532, F558
## 2025-04-14 17:58:55.308737 INFO::Fitting model to feature number 533, F559
## 2025-04-14 17:58:55.312027 INFO::Fitting model to feature number 534, F560
## 2025-04-14 17:58:55.315371 INFO::Fitting model to feature number 535, F561
## 2025-04-14 17:58:55.318742 INFO::Fitting model to feature number 536, F562
## 2025-04-14 17:58:55.322137 INFO::Fitting model to feature number 537, F563
## 2025-04-14 17:58:55.325577 INFO::Fitting model to feature number 538, F564
## 2025-04-14 17:58:55.329046 INFO::Fitting model to feature number 539, F566
## 2025-04-14 17:58:55.332402 INFO::Fitting model to feature number 540, F567
## 2025-04-14 17:58:55.335775 INFO::Fitting model to feature number 541, F568
## 2025-04-14 17:58:55.339113 INFO::Fitting model to feature number 542, F569
## 2025-04-14 17:58:55.342405 INFO::Fitting model to feature number 543, F570
## 2025-04-14 17:58:55.345708 INFO::Fitting model to feature number 544, F571
## 2025-04-14 17:58:55.348989 INFO::Fitting model to feature number 545, F572
## 2025-04-14 17:58:55.352257 INFO::Fitting model to feature number 546, F573
## 2025-04-14 17:58:55.35551 INFO::Fitting model to feature number 547, F574
## 2025-04-14 17:58:55.358772 INFO::Fitting model to feature number 548, F575
## 2025-04-14 17:58:55.362046 INFO::Fitting model to feature number 549, F576
## 2025-04-14 17:58:55.365318 INFO::Fitting model to feature number 550, F577
## 2025-04-14 17:58:55.368563 INFO::Fitting model to feature number 551, F578
## 2025-04-14 17:58:55.371831 INFO::Fitting model to feature number 552, F579
## 2025-04-14 17:58:55.375106 INFO::Fitting model to feature number 553, F580
## 2025-04-14 17:58:55.378366 INFO::Fitting model to feature number 554, F581
## 2025-04-14 17:58:55.381604 INFO::Fitting model to feature number 555, F582
## 2025-04-14 17:58:55.384859 INFO::Fitting model to feature number 556, F583
## 2025-04-14 17:58:55.388113 INFO::Fitting model to feature number 557, F584
## 2025-04-14 17:58:55.391353 INFO::Fitting model to feature number 558, F585
## 2025-04-14 17:58:55.394583 INFO::Fitting model to feature number 559, F586
## 2025-04-14 17:58:55.397828 INFO::Fitting model to feature number 560, F587
## 2025-04-14 17:58:55.401085 INFO::Fitting model to feature number 561, F588
## 2025-04-14 17:58:55.404345 INFO::Fitting model to feature number 562, F589
## 2025-04-14 17:58:55.40757 INFO::Fitting model to feature number 563, F590
## 2025-04-14 17:58:55.410814 INFO::Fitting model to feature number 564, F591
## 2025-04-14 17:58:55.414107 INFO::Fitting model to feature number 565, F592
## 2025-04-14 17:58:55.417324 INFO::Fitting model to feature number 566, F593
## 2025-04-14 17:58:55.420548 INFO::Fitting model to feature number 567, F594
## 2025-04-14 17:58:55.423789 INFO::Fitting model to feature number 568, F595
## 2025-04-14 17:58:55.427027 INFO::Fitting model to feature number 569, F596
## 2025-04-14 17:58:55.430278 INFO::Fitting model to feature number 570, F597
## 2025-04-14 17:58:55.433522 INFO::Fitting model to feature number 571, F598
## 2025-04-14 17:58:55.436758 INFO::Fitting model to feature number 572, F599
## 2025-04-14 17:58:55.440001 INFO::Fitting model to feature number 573, F600
## 2025-04-14 17:58:55.44322 INFO::Fitting model to feature number 574, F601
## 2025-04-14 17:58:55.446483 INFO::Fitting model to feature number 575, F602
## 2025-04-14 17:58:55.449756 INFO::Fitting model to feature number 576, F603
## 2025-04-14 17:58:55.453001 INFO::Fitting model to feature number 577, F605
## 2025-04-14 17:58:55.456251 INFO::Fitting model to feature number 578, F606
## 2025-04-14 17:58:55.459515 INFO::Fitting model to feature number 579, F607
## 2025-04-14 17:58:55.46276 INFO::Fitting model to feature number 580, F608
## 2025-04-14 17:58:55.466012 INFO::Fitting model to feature number 581, F609
## 2025-04-14 17:58:55.469239 INFO::Fitting model to feature number 582, F610
## 2025-04-14 17:58:55.472495 INFO::Fitting model to feature number 583, F611
## 2025-04-14 17:58:55.4758 INFO::Fitting model to feature number 584, F612
## 2025-04-14 17:58:55.479122 INFO::Fitting model to feature number 585, F613
## 2025-04-14 17:58:55.482401 INFO::Fitting model to feature number 586, F614
## 2025-04-14 17:58:55.485679 INFO::Fitting model to feature number 587, F615
## 2025-04-14 17:58:55.488983 INFO::Fitting model to feature number 588, F616
## 2025-04-14 17:58:55.492276 INFO::Fitting model to feature number 589, F617
## 2025-04-14 17:58:55.495571 INFO::Fitting model to feature number 590, F618
## 2025-04-14 17:58:55.498842 INFO::Fitting model to feature number 591, F619
## 2025-04-14 17:58:55.502127 INFO::Fitting model to feature number 592, F620
## 2025-04-14 17:58:55.505405 INFO::Fitting model to feature number 593, F621
## 2025-04-14 17:58:55.508727 INFO::Fitting model to feature number 594, F622
## 2025-04-14 17:58:55.512005 INFO::Fitting model to feature number 595, F623
## 2025-04-14 17:58:55.515288 INFO::Fitting model to feature number 596, F624
## 2025-04-14 17:58:55.518584 INFO::Fitting model to feature number 597, F625
## 2025-04-14 17:58:55.521867 INFO::Fitting model to feature number 598, F626
## 2025-04-14 17:58:55.525157 INFO::Fitting model to feature number 599, F627
## 2025-04-14 17:58:55.528428 INFO::Fitting model to feature number 600, F628
## 2025-04-14 17:58:55.531696 INFO::Fitting model to feature number 601, F629
## 2025-04-14 17:58:55.534946 INFO::Fitting model to feature number 602, F630
## 2025-04-14 17:58:55.538216 INFO::Fitting model to feature number 603, F631
## 2025-04-14 17:58:55.541469 INFO::Fitting model to feature number 604, F632
## 2025-04-14 17:58:55.54474 INFO::Fitting model to feature number 605, F633
## 2025-04-14 17:58:55.548048 INFO::Fitting model to feature number 606, F634
## 2025-04-14 17:58:55.551335 INFO::Fitting model to feature number 607, F635
## 2025-04-14 17:58:55.554636 INFO::Fitting model to feature number 608, F636
## 2025-04-14 17:58:55.557932 INFO::Fitting model to feature number 609, F637
## 2025-04-14 17:58:55.56128 INFO::Fitting model to feature number 610, F638
## 2025-04-14 17:58:55.564609 INFO::Fitting model to feature number 611, F639
## 2025-04-14 17:58:55.567971 INFO::Fitting model to feature number 612, F640
## 2025-04-14 17:58:55.571606 INFO::Fitting model to feature number 613, F641
## 2025-04-14 17:58:55.575446 INFO::Fitting model to feature number 614, F642
## 2025-04-14 17:58:55.579602 INFO::Fitting model to feature number 615, F643
## 2025-04-14 17:58:55.583364 INFO::Fitting model to feature number 616, F644
## 2025-04-14 17:58:55.586705 INFO::Fitting model to feature number 617, F645
## 2025-04-14 17:58:55.590051 INFO::Fitting model to feature number 618, F646
## 2025-04-14 17:58:55.593392 INFO::Fitting model to feature number 619, F647
## 2025-04-14 17:58:55.596707 INFO::Fitting model to feature number 620, F648
## 2025-04-14 17:58:55.60004 INFO::Fitting model to feature number 621, F649
## 2025-04-14 17:58:55.60336 INFO::Fitting model to feature number 622, F650
## 2025-04-14 17:58:55.606712 INFO::Fitting model to feature number 623, F651
## 2025-04-14 17:58:55.610051 INFO::Fitting model to feature number 624, F652
## 2025-04-14 17:58:55.613366 INFO::Fitting model to feature number 625, F653
## 2025-04-14 17:58:55.616737 INFO::Fitting model to feature number 626, F654
## 2025-04-14 17:58:55.620095 INFO::Fitting model to feature number 627, F655
## 2025-04-14 17:58:55.623445 INFO::Fitting model to feature number 628, F656
## 2025-04-14 17:58:55.626784 INFO::Fitting model to feature number 629, F657
## 2025-04-14 17:58:55.630082 INFO::Fitting model to feature number 630, F658
## 2025-04-14 17:58:55.633364 INFO::Fitting model to feature number 631, F659
## 2025-04-14 17:58:55.636693 INFO::Fitting model to feature number 632, F660
## 2025-04-14 17:58:55.640041 INFO::Fitting model to feature number 633, F661
## 2025-04-14 17:58:55.643346 INFO::Fitting model to feature number 634, F662
## 2025-04-14 17:58:55.646702 INFO::Fitting model to feature number 635, F663
## 2025-04-14 17:58:55.650046 INFO::Fitting model to feature number 636, F664
## 2025-04-14 17:58:55.65335 INFO::Fitting model to feature number 637, F665
## 2025-04-14 17:58:55.656691 INFO::Fitting model to feature number 638, F666
## 2025-04-14 17:58:55.659999 INFO::Fitting model to feature number 639, F667
## 2025-04-14 17:58:55.663434 INFO::Fitting model to feature number 640, F668
## 2025-04-14 17:58:55.666777 INFO::Fitting model to feature number 641, F669
## 2025-04-14 17:58:55.670123 INFO::Fitting model to feature number 642, F670
## 2025-04-14 17:58:55.673452 INFO::Fitting model to feature number 643, F671
## 2025-04-14 17:58:55.676786 INFO::Fitting model to feature number 644, F672
## 2025-04-14 17:58:55.680139 INFO::Fitting model to feature number 645, F673
## 2025-04-14 17:58:55.683475 INFO::Fitting model to feature number 646, F674
## 2025-04-14 17:58:55.686813 INFO::Fitting model to feature number 647, F675
## 2025-04-14 17:58:55.690175 INFO::Fitting model to feature number 648, F676
## 2025-04-14 17:58:55.693562 INFO::Fitting model to feature number 649, F677
## 2025-04-14 17:58:55.696935 INFO::Fitting model to feature number 650, F678
## 2025-04-14 17:58:55.700301 INFO::Fitting model to feature number 651, F679
## 2025-04-14 17:58:55.703699 INFO::Fitting model to feature number 652, F680
## 2025-04-14 17:58:55.707076 INFO::Fitting model to feature number 653, F681
## 2025-04-14 17:58:55.710441 INFO::Fitting model to feature number 654, F682
## 2025-04-14 17:58:55.713796 INFO::Fitting model to feature number 655, F683
## 2025-04-14 17:58:55.717137 INFO::Fitting model to feature number 656, F684
## 2025-04-14 17:58:55.7205 INFO::Fitting model to feature number 657, F685
## 2025-04-14 17:58:55.723865 INFO::Fitting model to feature number 658, F686
## 2025-04-14 17:58:55.727198 INFO::Fitting model to feature number 659, F687
## 2025-04-14 17:58:55.730549 INFO::Fitting model to feature number 660, F688
## 2025-04-14 17:58:55.733916 INFO::Fitting model to feature number 661, F689
## 2025-04-14 17:58:55.737263 INFO::Fitting model to feature number 662, F690
## 2025-04-14 17:58:55.740594 INFO::Fitting model to feature number 663, F691
## 2025-04-14 17:58:55.743945 INFO::Fitting model to feature number 664, F692
## 2025-04-14 17:58:55.747309 INFO::Fitting model to feature number 665, F693
## 2025-04-14 17:58:55.750642 INFO::Fitting model to feature number 666, F694
## 2025-04-14 17:58:55.753976 INFO::Fitting model to feature number 667, F695
## 2025-04-14 17:58:55.757323 INFO::Fitting model to feature number 668, F696
## 2025-04-14 17:58:55.760652 INFO::Fitting model to feature number 669, F697
## 2025-04-14 17:58:55.764073 INFO::Fitting model to feature number 670, F698
## 2025-04-14 17:58:55.767428 INFO::Fitting model to feature number 671, F699
## 2025-04-14 17:58:55.770777 INFO::Fitting model to feature number 672, F700
## 2025-04-14 17:58:55.774104 INFO::Fitting model to feature number 673, F701
## 2025-04-14 17:58:55.777431 INFO::Fitting model to feature number 674, F702
## 2025-04-14 17:58:55.780758 INFO::Fitting model to feature number 675, F704
## 2025-04-14 17:58:55.784142 INFO::Fitting model to feature number 676, F705
## 2025-04-14 17:58:55.787494 INFO::Fitting model to feature number 677, F706
## 2025-04-14 17:58:55.790828 INFO::Fitting model to feature number 678, F707
## 2025-04-14 17:58:55.79417 INFO::Fitting model to feature number 679, F708
## 2025-04-14 17:58:55.797498 INFO::Fitting model to feature number 680, F709
## 2025-04-14 17:58:55.800821 INFO::Fitting model to feature number 681, F710
## 2025-04-14 17:58:55.804213 INFO::Fitting model to feature number 682, F711
## 2025-04-14 17:58:55.807585 INFO::Fitting model to feature number 683, F712
## 2025-04-14 17:58:55.810935 INFO::Fitting model to feature number 684, F713
## 2025-04-14 17:58:55.814306 INFO::Fitting model to feature number 685, F714
## 2025-04-14 17:58:55.817697 INFO::Fitting model to feature number 686, F715
## 2025-04-14 17:58:55.821073 INFO::Fitting model to feature number 687, F716
## 2025-04-14 17:58:55.824394 INFO::Fitting model to feature number 688, F717
## 2025-04-14 17:58:55.827746 INFO::Fitting model to feature number 689, F718
## 2025-04-14 17:58:55.831119 INFO::Fitting model to feature number 690, F719
## 2025-04-14 17:58:55.834471 INFO::Fitting model to feature number 691, F720
## 2025-04-14 17:58:55.837833 INFO::Fitting model to feature number 692, F721
## 2025-04-14 17:58:55.841211 INFO::Fitting model to feature number 693, F722
## 2025-04-14 17:58:55.844547 INFO::Fitting model to feature number 694, F723
## 2025-04-14 17:58:55.847908 INFO::Fitting model to feature number 695, F724
## 2025-04-14 17:58:55.851283 INFO::Fitting model to feature number 696, F725
## 2025-04-14 17:58:55.854633 INFO::Fitting model to feature number 697, F726
## 2025-04-14 17:58:55.857981 INFO::Fitting model to feature number 698, F727
## 2025-04-14 17:58:55.861313 INFO::Fitting model to feature number 699, F728
## 2025-04-14 17:58:55.864672 INFO::Fitting model to feature number 700, F729
## 2025-04-14 17:58:55.86808 INFO::Fitting model to feature number 701, F730
## 2025-04-14 17:58:55.871439 INFO::Fitting model to feature number 702, F731
## 2025-04-14 17:58:55.874816 INFO::Fitting model to feature number 703, F732
## 2025-04-14 17:58:55.878196 INFO::Fitting model to feature number 704, F733
## 2025-04-14 17:58:55.881577 INFO::Fitting model to feature number 705, F734
## 2025-04-14 17:58:55.884944 INFO::Fitting model to feature number 706, F735
## 2025-04-14 17:58:55.888297 INFO::Fitting model to feature number 707, F736
## 2025-04-14 17:58:55.891644 INFO::Fitting model to feature number 708, F737
## 2025-04-14 17:58:55.895022 INFO::Fitting model to feature number 709, F739
## 2025-04-14 17:58:55.89834 INFO::Fitting model to feature number 710, F740
## 2025-04-14 17:58:55.901635 INFO::Fitting model to feature number 711, F741
## 2025-04-14 17:58:55.904975 INFO::Fitting model to feature number 712, F742
## 2025-04-14 17:58:55.908288 INFO::Fitting model to feature number 713, F743
## 2025-04-14 17:58:55.911606 INFO::Fitting model to feature number 714, F744
## 2025-04-14 17:58:55.914943 INFO::Fitting model to feature number 715, F745
## 2025-04-14 17:58:55.918279 INFO::Fitting model to feature number 716, F746
## 2025-04-14 17:58:55.921613 INFO::Fitting model to feature number 717, F747
## 2025-04-14 17:58:55.924963 INFO::Fitting model to feature number 718, F748
## 2025-04-14 17:58:55.928315 INFO::Fitting model to feature number 719, F749
## 2025-04-14 17:58:55.931679 INFO::Fitting model to feature number 720, F750
## 2025-04-14 17:58:55.935075 INFO::Fitting model to feature number 721, F751
## 2025-04-14 17:58:55.938459 INFO::Fitting model to feature number 722, F752
## 2025-04-14 17:58:55.94188 INFO::Fitting model to feature number 723, F753
## 2025-04-14 17:58:55.945288 INFO::Fitting model to feature number 724, F754
## 2025-04-14 17:58:55.948617 INFO::Fitting model to feature number 725, F755
## 2025-04-14 17:58:55.951937 INFO::Fitting model to feature number 726, F756
## 2025-04-14 17:58:55.955268 INFO::Fitting model to feature number 727, F757
## 2025-04-14 17:58:55.958594 INFO::Fitting model to feature number 728, F758
## 2025-04-14 17:58:55.961941 INFO::Fitting model to feature number 729, F759
## 2025-04-14 17:58:55.965271 INFO::Fitting model to feature number 730, F760
## 2025-04-14 17:58:55.96859 INFO::Fitting model to feature number 731, F761
## 2025-04-14 17:58:55.971934 INFO::Fitting model to feature number 732, F762
## 2025-04-14 17:58:55.975269 INFO::Fitting model to feature number 733, F763
## 2025-04-14 17:58:55.9786 INFO::Fitting model to feature number 734, F764
## 2025-04-14 17:58:55.981944 INFO::Fitting model to feature number 735, F765
## 2025-04-14 17:58:55.985302 INFO::Fitting model to feature number 736, F766
## 2025-04-14 17:58:55.988689 INFO::Fitting model to feature number 737, F767
## 2025-04-14 17:58:55.992063 INFO::Fitting model to feature number 738, F768
## 2025-04-14 17:58:55.995403 INFO::Fitting model to feature number 739, F769
## 2025-04-14 17:58:55.998762 INFO::Fitting model to feature number 740, F770
## 2025-04-14 17:58:56.002122 INFO::Fitting model to feature number 741, F771
## 2025-04-14 17:58:56.005462 INFO::Fitting model to feature number 742, F772
## 2025-04-14 17:58:56.008794 INFO::Fitting model to feature number 743, F773
## 2025-04-14 17:58:56.012126 INFO::Fitting model to feature number 744, F774
## 2025-04-14 17:58:56.015448 INFO::Fitting model to feature number 745, F775
## 2025-04-14 17:58:56.018766 INFO::Fitting model to feature number 746, F776
## 2025-04-14 17:58:56.022092 INFO::Fitting model to feature number 747, F777
## 2025-04-14 17:58:56.025429 INFO::Fitting model to feature number 748, F778
## 2025-04-14 17:58:56.028741 INFO::Fitting model to feature number 749, F779
## 2025-04-14 17:58:56.049667 INFO::Fitting model to feature number 750, F780
## 2025-04-14 17:58:56.055208 INFO::Fitting model to feature number 751, F781
## 2025-04-14 17:58:56.058744 INFO::Fitting model to feature number 752, F782
## 2025-04-14 17:58:56.062219 INFO::Fitting model to feature number 753, F783
## 2025-04-14 17:58:56.065632 INFO::Fitting model to feature number 754, F784
## 2025-04-14 17:58:56.069018 INFO::Fitting model to feature number 755, F785
## 2025-04-14 17:58:56.072374 INFO::Fitting model to feature number 756, F786
## 2025-04-14 17:58:56.075706 INFO::Fitting model to feature number 757, F787
## 2025-04-14 17:58:56.079045 INFO::Fitting model to feature number 758, F788
## 2025-04-14 17:58:56.08239 INFO::Fitting model to feature number 759, F789
## 2025-04-14 17:58:56.085728 INFO::Fitting model to feature number 760, F790
## 2025-04-14 17:58:56.089022 INFO::Fitting model to feature number 761, F791
## 2025-04-14 17:58:56.092294 INFO::Fitting model to feature number 762, F792
## 2025-04-14 17:58:56.095607 INFO::Fitting model to feature number 763, F793
## 2025-04-14 17:58:56.098922 INFO::Fitting model to feature number 764, F794
## 2025-04-14 17:58:56.102273 INFO::Fitting model to feature number 765, F795
## 2025-04-14 17:58:56.105601 INFO::Fitting model to feature number 766, F796
## 2025-04-14 17:58:56.108949 INFO::Fitting model to feature number 767, F797
## 2025-04-14 17:58:56.112274 INFO::Fitting model to feature number 768, F798
## 2025-04-14 17:58:56.115593 INFO::Fitting model to feature number 769, F799
## 2025-04-14 17:58:56.118949 INFO::Fitting model to feature number 770, F800
## 2025-04-14 17:58:56.122359 INFO::Fitting model to feature number 771, F801
## 2025-04-14 17:58:56.125704 INFO::Fitting model to feature number 772, F802
## 2025-04-14 17:58:56.129112 INFO::Fitting model to feature number 773, F803
## 2025-04-14 17:58:56.132391 INFO::Fitting model to feature number 774, F804
## 2025-04-14 17:58:56.135716 INFO::Fitting model to feature number 775, F805
## 2025-04-14 17:58:56.139015 INFO::Fitting model to feature number 776, F806
## 2025-04-14 17:58:56.142339 INFO::Fitting model to feature number 777, F808
## 2025-04-14 17:58:56.145625 INFO::Fitting model to feature number 778, F809
## 2025-04-14 17:58:56.14893 INFO::Fitting model to feature number 779, F810
## 2025-04-14 17:58:56.15219 INFO::Fitting model to feature number 780, F811
## 2025-04-14 17:58:56.155449 INFO::Fitting model to feature number 781, F812
## 2025-04-14 17:58:56.158707 INFO::Fitting model to feature number 782, F813
## 2025-04-14 17:58:56.161969 INFO::Fitting model to feature number 783, F814
## 2025-04-14 17:58:56.165247 INFO::Fitting model to feature number 784, F815
## 2025-04-14 17:58:56.168508 INFO::Fitting model to feature number 785, F816
## 2025-04-14 17:58:56.171783 INFO::Fitting model to feature number 786, F817
## 2025-04-14 17:58:56.175064 INFO::Fitting model to feature number 787, F818
## 2025-04-14 17:58:56.178321 INFO::Fitting model to feature number 788, F819
## 2025-04-14 17:58:56.181591 INFO::Fitting model to feature number 789, F820
## 2025-04-14 17:58:56.184878 INFO::Fitting model to feature number 790, F821
## 2025-04-14 17:58:56.188191 INFO::Fitting model to feature number 791, F822
## 2025-04-14 17:58:56.191421 INFO::Fitting model to feature number 792, F823
## 2025-04-14 17:58:56.19471 INFO::Fitting model to feature number 793, F824
## 2025-04-14 17:58:56.198014 INFO::Fitting model to feature number 794, F825
## 2025-04-14 17:58:56.201309 INFO::Fitting model to feature number 795, F826
## 2025-04-14 17:58:56.204619 INFO::Fitting model to feature number 796, F827
## 2025-04-14 17:58:56.207934 INFO::Fitting model to feature number 797, F828
## 2025-04-14 17:58:56.211251 INFO::Fitting model to feature number 798, F829
## 2025-04-14 17:58:56.214552 INFO::Fitting model to feature number 799, F830
## 2025-04-14 17:58:56.217871 INFO::Fitting model to feature number 800, F831
## 2025-04-14 17:58:56.221207 INFO::Fitting model to feature number 801, F832
## 2025-04-14 17:58:56.224535 INFO::Fitting model to feature number 802, F833
## 2025-04-14 17:58:56.227825 INFO::Fitting model to feature number 803, F834
## 2025-04-14 17:58:56.231125 INFO::Fitting model to feature number 804, F835
## 2025-04-14 17:58:56.234491 INFO::Fitting model to feature number 805, F836
## 2025-04-14 17:58:56.237863 INFO::Fitting model to feature number 806, F837
## 2025-04-14 17:58:56.241196 INFO::Fitting model to feature number 807, F838
## 2025-04-14 17:58:56.244518 INFO::Fitting model to feature number 808, F839
## 2025-04-14 17:58:56.247888 INFO::Fitting model to feature number 809, F840
## 2025-04-14 17:58:56.251258 INFO::Fitting model to feature number 810, F841
## 2025-04-14 17:58:56.254611 INFO::Fitting model to feature number 811, F842
## 2025-04-14 17:58:56.258038 INFO::Fitting model to feature number 812, F843
## 2025-04-14 17:58:56.261438 INFO::Fitting model to feature number 813, F844
## 2025-04-14 17:58:56.264771 INFO::Fitting model to feature number 814, F845
## 2025-04-14 17:58:56.268106 INFO::Fitting model to feature number 815, F846
## 2025-04-14 17:58:56.271432 INFO::Fitting model to feature number 816, F847
## 2025-04-14 17:58:56.274793 INFO::Fitting model to feature number 817, F848
## 2025-04-14 17:58:56.278123 INFO::Fitting model to feature number 818, F849
## 2025-04-14 17:58:56.281462 INFO::Fitting model to feature number 819, F850
## 2025-04-14 17:58:56.284802 INFO::Fitting model to feature number 820, F851
## 2025-04-14 17:58:56.288178 INFO::Fitting model to feature number 821, F852
## 2025-04-14 17:58:56.291568 INFO::Fitting model to feature number 822, F853
## 2025-04-14 17:58:56.294964 INFO::Fitting model to feature number 823, F854
## 2025-04-14 17:58:56.298343 INFO::Fitting model to feature number 824, F855
## 2025-04-14 17:58:56.301713 INFO::Fitting model to feature number 825, F856
## 2025-04-14 17:58:56.305025 INFO::Fitting model to feature number 826, F857
## 2025-04-14 17:58:56.308324 INFO::Fitting model to feature number 827, F858
## 2025-04-14 17:58:56.311604 INFO::Fitting model to feature number 828, F859
## 2025-04-14 17:58:56.314875 INFO::Fitting model to feature number 829, F860
## 2025-04-14 17:58:56.318174 INFO::Fitting model to feature number 830, F861
## 2025-04-14 17:58:56.321468 INFO::Fitting model to feature number 831, F862
## 2025-04-14 17:58:56.324774 INFO::Fitting model to feature number 832, F863
## 2025-04-14 17:58:56.328068 INFO::Fitting model to feature number 833, F864
## 2025-04-14 17:58:56.331371 INFO::Fitting model to feature number 834, F865
## 2025-04-14 17:58:56.334665 INFO::Fitting model to feature number 835, F866
## 2025-04-14 17:58:56.337981 INFO::Fitting model to feature number 836, F867
## 2025-04-14 17:58:56.341277 INFO::Fitting model to feature number 837, F868
## 2025-04-14 17:58:56.344568 INFO::Fitting model to feature number 838, F869
## 2025-04-14 17:58:56.347849 INFO::Fitting model to feature number 839, F870
## 2025-04-14 17:58:56.351136 INFO::Fitting model to feature number 840, F871
## 2025-04-14 17:58:56.354397 INFO::Fitting model to feature number 841, F872
## 2025-04-14 17:58:56.357682 INFO::Fitting model to feature number 842, F873
## 2025-04-14 17:58:56.360962 INFO::Fitting model to feature number 843, F874
## 2025-04-14 17:58:56.364241 INFO::Fitting model to feature number 844, F875
## 2025-04-14 17:58:56.367516 INFO::Fitting model to feature number 845, F876
## 2025-04-14 17:58:56.37085 INFO::Fitting model to feature number 846, F877
## 2025-04-14 17:58:56.374178 INFO::Fitting model to feature number 847, F878
## 2025-04-14 17:58:56.377479 INFO::Fitting model to feature number 848, F879
## 2025-04-14 17:58:56.380875 INFO::Fitting model to feature number 849, F880
## 2025-04-14 17:58:56.384344 INFO::Fitting model to feature number 850, F881
## 2025-04-14 17:58:56.387783 INFO::Fitting model to feature number 851, F882
## 2025-04-14 17:58:56.391314 INFO::Fitting model to feature number 852, F883
## 2025-04-14 17:58:56.394821 INFO::Fitting model to feature number 853, F884
## 2025-04-14 17:58:56.398332 INFO::Fitting model to feature number 854, F885
## 2025-04-14 17:58:56.401773 INFO::Fitting model to feature number 855, F886
## 2025-04-14 17:58:56.405161 INFO::Fitting model to feature number 856, F887
## 2025-04-14 17:58:56.408503 INFO::Fitting model to feature number 857, F888
## 2025-04-14 17:58:56.411829 INFO::Fitting model to feature number 858, F889
## 2025-04-14 17:58:56.415173 INFO::Fitting model to feature number 859, F890
## 2025-04-14 17:58:56.418542 INFO::Fitting model to feature number 860, F891
## 2025-04-14 17:58:56.421921 INFO::Fitting model to feature number 861, F892
## 2025-04-14 17:58:56.425258 INFO::Fitting model to feature number 862, F893
## 2025-04-14 17:58:56.428581 INFO::Fitting model to feature number 863, F894
## 2025-04-14 17:58:56.431925 INFO::Fitting model to feature number 864, F895
## 2025-04-14 17:58:56.435261 INFO::Fitting model to feature number 865, F896
## 2025-04-14 17:58:56.438587 INFO::Fitting model to feature number 866, F897
## 2025-04-14 17:58:56.44194 INFO::Fitting model to feature number 867, F898
## 2025-04-14 17:58:56.445287 INFO::Fitting model to feature number 868, F899
## 2025-04-14 17:58:56.448741 INFO::Fitting model to feature number 869, F900
## 2025-04-14 17:58:56.611181 INFO::Counting total values for each feature
## 2025-04-14 17:58:56.724443 INFO::Writing filtered data to file Macarron_output/maaslin2_results/features/filtered_data.tsv
## 2025-04-14 17:58:56.832001 INFO::Writing filtered, normalized data to file Macarron_output/maaslin2_results/features/filtered_data_norm.tsv
## 2025-04-14 17:58:56.939871 INFO::Writing filtered, normalized, transformed data to file Macarron_output/maaslin2_results/features/filtered_data_norm_transformed.tsv
## 2025-04-14 17:58:57.047614 INFO::Writing residuals to file Macarron_output/maaslin2_results/fits/residuals.rds
## 2025-04-14 17:58:57.089266 INFO::Writing fitted values to file Macarron_output/maaslin2_results/fits/fitted.rds
## 2025-04-14 17:58:57.124659 INFO::Writing all results to file (ordered by increasing q-values): Macarron_output/maaslin2_results/all_results.tsv
## 2025-04-14 17:58:57.147795 INFO::Writing the significant results (those which are less than or equal to the threshold of 0.250000 ) to file (ordered by increasing q-values): Macarron_output/maaslin2_results/significant_results.tsv
## 2025-04-14 17:58:57.154768 INFO::Writing association plots (one for each significant association) to output folder: Macarron_output/maaslin2_results
## 2025-04-14 17:58:57.171433 INFO::Plotting associations from most to least significant, grouped by metadata
## 2025-04-14 17:58:57.17246 INFO::Plotting data for metadata number 1, diagnosis
## 2025-04-14 17:58:57.216506 INFO::Creating boxplot for categorical data, diagnosis vs F504

## 2025-04-14 17:58:57.549358 INFO::Creating boxplot for categorical data, diagnosis vs F859

## 2025-04-14 17:58:57.748177 INFO::Creating boxplot for categorical data, diagnosis vs F533

## 2025-04-14 17:58:57.941546 INFO::Creating boxplot for categorical data, diagnosis vs F587

## 2025-04-14 17:58:58.125196 INFO::Creating boxplot for categorical data, diagnosis vs F584

## 2025-04-14 17:58:58.354236 INFO::Creating boxplot for categorical data, diagnosis vs F197

## 2025-04-14 17:58:58.526266 INFO::Creating boxplot for categorical data, diagnosis vs F380

## 2025-04-14 17:58:58.700976 INFO::Creating boxplot for categorical data, diagnosis vs F829

## 2025-04-14 17:58:58.874321 INFO::Creating boxplot for categorical data, diagnosis vs F664

## 2025-04-14 17:58:59.051369 INFO::Creating boxplot for categorical data, diagnosis vs F93

## 2025-04-14 17:58:59.235176 INFO::Creating boxplot for categorical data, diagnosis vs F15

## 2025-04-14 17:58:59.402719 INFO::Creating boxplot for categorical data, diagnosis vs F881

## 2025-04-14 17:58:59.573813 INFO::Creating boxplot for categorical data, diagnosis vs F806

## 2025-04-14 17:58:59.778764 INFO::Creating boxplot for categorical data, diagnosis vs F78

## 2025-04-14 17:58:59.961814 INFO::Creating boxplot for categorical data, diagnosis vs F189

## 2025-04-14 17:59:00.165326 INFO::Creating boxplot for categorical data, diagnosis vs F369

## 2025-04-14 17:59:00.354689 INFO::Creating boxplot for categorical data, diagnosis vs F623

## 2025-04-14 17:59:00.536626 INFO::Creating boxplot for categorical data, diagnosis vs F710

## 2025-04-14 17:59:00.710626 INFO::Creating boxplot for categorical data, diagnosis vs F851

## 2025-04-14 17:59:00.886024 INFO::Creating boxplot for categorical data, diagnosis vs F257

## 2025-04-14 17:59:01.074647 INFO::Creating boxplot for categorical data, diagnosis vs F330

## 2025-04-14 17:59:01.243575 INFO::Creating boxplot for categorical data, diagnosis vs F344

## 2025-04-14 17:59:01.412738 INFO::Creating boxplot for categorical data, diagnosis vs F696

## 2025-04-14 17:59:01.585999 INFO::Creating boxplot for categorical data, diagnosis vs F741

## 2025-04-14 17:59:01.761436 INFO::Creating boxplot for categorical data, diagnosis vs F509

## 2025-04-14 17:59:01.945829 INFO::Creating boxplot for categorical data, diagnosis vs F479

## 2025-04-14 17:59:02.122831 INFO::Creating boxplot for categorical data, diagnosis vs F550

## 2025-04-14 17:59:02.302067 INFO::Creating boxplot for categorical data, diagnosis vs F640

## 2025-04-14 17:59:02.493958 INFO::Creating boxplot for categorical data, diagnosis vs F281

## 2025-04-14 17:59:02.682909 INFO::Creating boxplot for categorical data, diagnosis vs F80

## 2025-04-14 17:59:02.867698 INFO::Creating boxplot for categorical data, diagnosis vs F285

## 2025-04-14 17:59:03.037381 INFO::Creating boxplot for categorical data, diagnosis vs F531

## 2025-04-14 17:59:03.208179 INFO::Creating boxplot for categorical data, diagnosis vs F737

## 2025-04-14 17:59:03.382056 INFO::Creating boxplot for categorical data, diagnosis vs F875

## 2025-04-14 17:59:03.557832 INFO::Creating boxplot for categorical data, diagnosis vs F864

## 2025-04-14 17:59:03.739763 INFO::Creating boxplot for categorical data, diagnosis vs F379

## 2025-04-14 17:59:03.909297 INFO::Creating boxplot for categorical data, diagnosis vs F190

## 2025-04-14 17:59:04.082701 INFO::Creating boxplot for categorical data, diagnosis vs F4

## 2025-04-14 17:59:04.25879 INFO::Creating boxplot for categorical data, diagnosis vs F591

## 2025-04-14 17:59:04.433489 INFO::Creating boxplot for categorical data, diagnosis vs F773

## 2025-04-14 17:59:04.612257 INFO::Creating boxplot for categorical data, diagnosis vs F283

## 2025-04-14 17:59:04.781211 INFO::Creating boxplot for categorical data, diagnosis vs F233

## 2025-04-14 17:59:04.95523 INFO::Creating boxplot for categorical data, diagnosis vs F420

## 2025-04-14 17:59:05.130638 INFO::Creating boxplot for categorical data, diagnosis vs F5

## 2025-04-14 17:59:05.317075 INFO::Creating boxplot for categorical data, diagnosis vs F137

## 2025-04-14 17:59:05.486859 INFO::Creating boxplot for categorical data, diagnosis vs F215

## 2025-04-14 17:59:05.656878 INFO::Creating boxplot for categorical data, diagnosis vs F489

## 2025-04-14 17:59:05.835263 INFO::Creating boxplot for categorical data, diagnosis vs F220

## 2025-04-14 17:59:06.013319 INFO::Creating boxplot for categorical data, diagnosis vs F691

## 2025-04-14 17:59:06.196501 INFO::Creating boxplot for categorical data, diagnosis vs F381

## 2025-04-14 17:59:06.365988 INFO::Creating boxplot for categorical data, diagnosis vs F539

## 2025-04-14 17:59:06.534298 INFO::Creating boxplot for categorical data, diagnosis vs F490

## 2025-04-14 17:59:06.714557 INFO::Creating boxplot for categorical data, diagnosis vs F832

## 2025-04-14 17:59:06.896132 INFO::Creating boxplot for categorical data, diagnosis vs F396

## 2025-04-14 17:59:07.083606 INFO::Creating boxplot for categorical data, diagnosis vs F528

## 2025-04-14 17:59:07.252153 INFO::Creating boxplot for categorical data, diagnosis vs F234

## 2025-04-14 17:59:07.422651 INFO::Creating boxplot for categorical data, diagnosis vs F178

## 2025-04-14 17:59:07.598092 INFO::Creating boxplot for categorical data, diagnosis vs F761

## 2025-04-14 17:59:07.775617 INFO::Creating boxplot for categorical data, diagnosis vs F2

## 2025-04-14 17:59:07.967109 INFO::Creating boxplot for categorical data, diagnosis vs F260

## 2025-04-14 17:59:08.139157 INFO::Creating boxplot for categorical data, diagnosis vs F734

## 2025-04-14 17:59:08.312342 INFO::Creating boxplot for categorical data, diagnosis vs F429

## 2025-04-14 17:59:08.485621 INFO::Creating boxplot for categorical data, diagnosis vs F630

## 2025-04-14 17:59:08.660184 INFO::Creating boxplot for categorical data, diagnosis vs F817

## 2025-04-14 17:59:08.838382 INFO::Creating boxplot for categorical data, diagnosis vs F847

## 2025-04-14 17:59:09.009464 INFO::Creating boxplot for categorical data, diagnosis vs F896

## 2025-04-14 17:59:09.181261 INFO::Creating boxplot for categorical data, diagnosis vs F81

## 2025-04-14 17:59:09.353565 INFO::Creating boxplot for categorical data, diagnosis vs F110

## 2025-04-14 17:59:09.542579 INFO::Creating boxplot for categorical data, diagnosis vs F3

## 2025-04-14 17:59:09.713753 INFO::Creating boxplot for categorical data, diagnosis vs F33

## 2025-04-14 17:59:09.893456 INFO::Creating boxplot for categorical data, diagnosis vs F270

## 2025-04-14 17:59:10.070989 INFO::Creating boxplot for categorical data, diagnosis vs F278

## 2025-04-14 17:59:10.244766 INFO::Creating boxplot for categorical data, diagnosis vs F264

## 2025-04-14 17:59:10.432431 INFO::Creating boxplot for categorical data, diagnosis vs F90

## 2025-04-14 17:59:10.605273 INFO::Creating boxplot for categorical data, diagnosis vs F403

## 2025-04-14 17:59:10.77593 INFO::Creating boxplot for categorical data, diagnosis vs F727

## 2025-04-14 17:59:10.950219 INFO::Creating boxplot for categorical data, diagnosis vs F394

## 2025-04-14 17:59:11.126101 INFO::Creating boxplot for categorical data, diagnosis vs F800

## 2025-04-14 17:59:11.310084 INFO::Creating boxplot for categorical data, diagnosis vs F439

## 2025-04-14 17:59:11.480814 INFO::Creating boxplot for categorical data, diagnosis vs F554

## 2025-04-14 17:59:11.650615 INFO::Creating boxplot for categorical data, diagnosis vs F559

## 2025-04-14 17:59:11.824911 INFO::Creating boxplot for categorical data, diagnosis vs F548

## 2025-04-14 17:59:12.000734 INFO::Creating boxplot for categorical data, diagnosis vs F794

## 2025-04-14 17:59:12.183997 INFO::Creating boxplot for categorical data, diagnosis vs F45

## 2025-04-14 17:59:12.351679 INFO::Creating boxplot for categorical data, diagnosis vs F158

## 2025-04-14 17:59:12.538024 INFO::Creating boxplot for categorical data, diagnosis vs F477

## 2025-04-14 17:59:12.723586 INFO::Creating boxplot for categorical data, diagnosis vs F1

## 2025-04-14 17:59:12.926048 INFO::Creating boxplot for categorical data, diagnosis vs F862

## 2025-04-14 17:59:13.114027 INFO::Creating boxplot for categorical data, diagnosis vs F803

## 2025-04-14 17:59:13.290241 INFO::Creating boxplot for categorical data, diagnosis vs F751

## 2025-04-14 17:59:13.469025 INFO::Creating boxplot for categorical data, diagnosis vs F98

## 2025-04-14 17:59:13.644529 INFO::Creating boxplot for categorical data, diagnosis vs F22

## 2025-04-14 17:59:13.83113 INFO::Creating boxplot for categorical data, diagnosis vs F625

## 2025-04-14 17:59:14.006091 INFO::Creating boxplot for categorical data, diagnosis vs F206

## 2025-04-14 17:59:14.183065 INFO::Creating boxplot for categorical data, diagnosis vs F779

## 2025-04-14 17:59:14.357046 INFO::Creating boxplot for categorical data, diagnosis vs F532

## 2025-04-14 17:59:14.530578 INFO::Creating boxplot for categorical data, diagnosis vs F676

## 2025-04-14 17:59:14.712473 INFO::Creating boxplot for categorical data, diagnosis vs F644

## 2025-04-14 17:59:14.884175 INFO::Creating boxplot for categorical data, diagnosis vs F7

## 2025-04-14 17:59:15.05988 INFO::Creating boxplot for categorical data, diagnosis vs F596

## 2025-04-14 17:59:15.236157 INFO::Creating boxplot for categorical data, diagnosis vs F250

## 2025-04-14 17:59:15.421669 INFO::Creating boxplot for categorical data, diagnosis vs F462

## 2025-04-14 17:59:15.597015 INFO::Creating boxplot for categorical data, diagnosis vs F516

## 2025-04-14 17:59:15.77634 INFO::Creating boxplot for categorical data, diagnosis vs F659

## 2025-04-14 17:59:15.968358 INFO::Creating boxplot for categorical data, diagnosis vs F663

## 2025-04-14 17:59:16.171274 INFO::Creating boxplot for categorical data, diagnosis vs F837

## 2025-04-14 17:59:17.116564 INFO::Creating boxplot for categorical data, diagnosis vs F138

## 2025-04-14 17:59:17.287044 INFO::Creating boxplot for categorical data, diagnosis vs F445

## 2025-04-14 17:59:17.453363 INFO::Creating boxplot for categorical data, diagnosis vs F697

## 2025-04-14 17:59:17.627826 INFO::Creating boxplot for categorical data, diagnosis vs F225

## 2025-04-14 17:59:17.804582 INFO::Creating boxplot for categorical data, diagnosis vs F148

## 2025-04-14 17:59:17.983803 INFO::Creating boxplot for categorical data, diagnosis vs F448

## 2025-04-14 17:59:18.148604 INFO::Creating boxplot for categorical data, diagnosis vs F91

## 2025-04-14 17:59:18.314984 INFO::Creating boxplot for categorical data, diagnosis vs F123

## 2025-04-14 17:59:18.485479 INFO::Creating boxplot for categorical data, diagnosis vs F665

## 2025-04-14 17:59:18.655477 INFO::Creating boxplot for categorical data, diagnosis vs F845

## 2025-04-14 17:59:18.833199 INFO::Creating boxplot for categorical data, diagnosis vs F331

## 2025-04-14 17:59:19.004165 INFO::Creating boxplot for categorical data, diagnosis vs F361

## 2025-04-14 17:59:19.173546 INFO::Creating boxplot for categorical data, diagnosis vs F421

## 2025-04-14 17:59:19.346305 INFO::Creating boxplot for categorical data, diagnosis vs F277

## 2025-04-14 17:59:19.519392 INFO::Creating boxplot for categorical data, diagnosis vs F307

## 2025-04-14 17:59:19.701038 INFO::Creating boxplot for categorical data, diagnosis vs F503

## 2025-04-14 17:59:19.867926 INFO::Creating boxplot for categorical data, diagnosis vs F34

## 2025-04-14 17:59:20.036402 INFO::Creating boxplot for categorical data, diagnosis vs F649

## 2025-04-14 17:59:20.210509 INFO::Creating boxplot for categorical data, diagnosis vs F825

## 2025-04-14 17:59:20.381352 INFO::Creating boxplot for categorical data, diagnosis vs F298

## 2025-04-14 17:59:20.561641 INFO::Creating boxplot for categorical data, diagnosis vs F461

## 2025-04-14 17:59:20.729093 INFO::Creating boxplot for categorical data, diagnosis vs F242

## 2025-04-14 17:59:20.89748 INFO::Creating boxplot for categorical data, diagnosis vs F375

## 2025-04-14 17:59:21.067751 INFO::Creating boxplot for categorical data, diagnosis vs F648

## 2025-04-14 17:59:21.24137 INFO::Creating boxplot for categorical data, diagnosis vs F724

## 2025-04-14 17:59:21.420471 INFO::Creating boxplot for categorical data, diagnosis vs F678

## 2025-04-14 17:59:21.593996 INFO::Creating boxplot for categorical data, diagnosis vs F290

## 2025-04-14 17:59:21.766762 INFO::Creating boxplot for categorical data, diagnosis vs F743

## 2025-04-14 17:59:21.940818 INFO::Creating boxplot for categorical data, diagnosis vs F495

## 2025-04-14 17:59:22.124291 INFO::Creating boxplot for categorical data, diagnosis vs F261

## 2025-04-14 17:59:22.294905 INFO::Creating boxplot for categorical data, diagnosis vs F43

## 2025-04-14 17:59:22.464869 INFO::Creating boxplot for categorical data, diagnosis vs F714

## 2025-04-14 17:59:22.63757 INFO::Creating boxplot for categorical data, diagnosis vs F131

## 2025-04-14 17:59:22.811491 INFO::Creating boxplot for categorical data, diagnosis vs F150

## 2025-04-14 17:59:22.99653 INFO::Creating boxplot for categorical data, diagnosis vs F651

## 2025-04-14 17:59:23.172547 INFO::Creating boxplot for categorical data, diagnosis vs F798

## 2025-04-14 17:59:23.340688 INFO::Creating boxplot for categorical data, diagnosis vs F289

## 2025-04-14 17:59:23.516801 INFO::Creating boxplot for categorical data, diagnosis vs F661

## 2025-04-14 17:59:23.692517 INFO::Creating boxplot for categorical data, diagnosis vs F199

## 2025-04-14 17:59:23.875694 INFO::Creating boxplot for categorical data, diagnosis vs F406

## 2025-04-14 17:59:24.045674 INFO::Creating boxplot for categorical data, diagnosis vs F139

## 2025-04-14 17:59:24.218278 INFO::Creating boxplot for categorical data, diagnosis vs F506

## 2025-04-14 17:59:24.387177 INFO::Creating boxplot for categorical data, diagnosis vs F552

## 2025-04-14 17:59:24.562209 INFO::Creating boxplot for categorical data, diagnosis vs F94

## 2025-04-14 17:59:24.748562 INFO::Creating boxplot for categorical data, diagnosis vs F430

## 2025-04-14 17:59:24.918469 INFO::Creating boxplot for categorical data, diagnosis vs F639

## 2025-04-14 17:59:25.089354 INFO::Creating boxplot for categorical data, diagnosis vs F500

## 2025-04-14 17:59:25.270282 INFO::Creating boxplot for categorical data, diagnosis vs F609

## 2025-04-14 17:59:25.44782 INFO::Creating boxplot for categorical data, diagnosis vs F306

## 2025-04-14 17:59:25.629241 INFO::Creating boxplot for categorical data, diagnosis vs F507

## 2025-04-14 17:59:25.794141 INFO::Creating boxplot for categorical data, diagnosis vs F671

## 2025-04-14 17:59:25.960233 INFO::Creating boxplot for categorical data, diagnosis vs F894

## 2025-04-14 17:59:26.131824 INFO::Creating boxplot for categorical data, diagnosis vs F345

## 2025-04-14 17:59:26.305068 INFO::Creating boxplot for categorical data, diagnosis vs F801

## 2025-04-14 17:59:26.484698 INFO::Creating boxplot for categorical data, diagnosis vs F194

## 2025-04-14 17:59:26.655466 INFO::Creating boxplot for categorical data, diagnosis vs F195

## 2025-04-14 17:59:26.827127 INFO::Creating boxplot for categorical data, diagnosis vs F119

## 2025-04-14 17:59:27.001339 INFO::Creating boxplot for categorical data, diagnosis vs F120

## 2025-04-14 17:59:27.174162 INFO::Creating boxplot for categorical data, diagnosis vs F231

## 2025-04-14 17:59:27.348685 INFO::Creating boxplot for categorical data, diagnosis vs F311

## 2025-04-14 17:59:27.512014 INFO::Creating boxplot for categorical data, diagnosis vs F646

## 2025-04-14 17:59:27.677628 INFO::Creating boxplot for categorical data, diagnosis vs F814

## 2025-04-14 17:59:27.84652 INFO::Creating boxplot for categorical data, diagnosis vs F510

## 2025-04-14 17:59:28.028161 INFO::Creating boxplot for categorical data, diagnosis vs F398

## 2025-04-14 17:59:28.19342 INFO::Creating boxplot for categorical data, diagnosis vs F60

## 2025-04-14 17:59:28.36111 INFO::Creating boxplot for categorical data, diagnosis vs F153

## 2025-04-14 17:59:28.532749 INFO::Creating boxplot for categorical data, diagnosis vs F858

## 2025-04-14 17:59:28.705518 INFO::Creating boxplot for categorical data, diagnosis vs F775

## 2025-04-14 17:59:28.884146 INFO::Creating boxplot for categorical data, diagnosis vs F684

## 2025-04-14 17:59:29.051621 INFO::Creating boxplot for categorical data, diagnosis vs F384

## 2025-04-14 17:59:29.221188 INFO::Creating boxplot for categorical data, diagnosis vs F134

## 2025-04-14 17:59:29.397466 INFO::Creating boxplot for categorical data, diagnosis vs F670

## 2025-04-14 17:59:29.570182 INFO::Creating boxplot for categorical data, diagnosis vs F632

## 2025-04-14 17:59:29.753488 INFO::Creating boxplot for categorical data, diagnosis vs F721

## 2025-04-14 17:59:29.923227 INFO::Creating boxplot for categorical data, diagnosis vs F700

## 2025-04-14 17:59:30.09215 INFO::Creating boxplot for categorical data, diagnosis vs F376

## 2025-04-14 17:59:30.268152 INFO::Creating boxplot for categorical data, diagnosis vs F301

## 2025-04-14 17:59:30.442616 INFO::Creating boxplot for categorical data, diagnosis vs F27

## 2025-04-14 17:59:30.619658 INFO::Creating boxplot for categorical data, diagnosis vs F280

## 2025-04-14 17:59:30.788082 INFO::Creating boxplot for categorical data, diagnosis vs F391

## 2025-04-14 17:59:30.958281 INFO::Creating boxplot for categorical data, diagnosis vs F725

## 2025-04-14 17:59:31.131721 INFO::Creating boxplot for categorical data, diagnosis vs F186

## 2025-04-14 17:59:31.321704 INFO::Creating boxplot for categorical data, diagnosis vs F481

## 2025-04-14 17:59:31.489393 INFO::Creating boxplot for categorical data, diagnosis vs F333

## 2025-04-14 17:59:31.657088 INFO::Creating boxplot for categorical data, diagnosis vs F720

## 2025-04-14 17:59:31.825158 INFO::Creating boxplot for categorical data, diagnosis vs F520

## 2025-04-14 17:59:31.999238 INFO::Creating boxplot for categorical data, diagnosis vs F129

## 2025-04-14 17:59:32.178532 INFO::Creating boxplot for categorical data, diagnosis vs F204

## 2025-04-14 17:59:32.345399 INFO::Creating boxplot for categorical data, diagnosis vs F259

## 2025-04-14 17:59:32.512881 INFO::Creating boxplot for categorical data, diagnosis vs F831

## 2025-04-14 17:59:32.687894 INFO::Creating boxplot for categorical data, diagnosis vs F891

## 2025-04-14 17:59:32.861484 INFO::Creating boxplot for categorical data, diagnosis vs F262

## 2025-04-14 17:59:33.042357 INFO::Creating boxplot for categorical data, diagnosis vs F592

## 2025-04-14 17:59:33.209756 INFO::Creating boxplot for categorical data, diagnosis vs F343

## 2025-04-14 17:59:33.377178 INFO::Creating boxplot for categorical data, diagnosis vs F505

## 2025-04-14 17:59:33.550867 INFO::Creating boxplot for categorical data, diagnosis vs F622

## 2025-04-14 17:59:33.73566 INFO::Creating boxplot for categorical data, diagnosis vs F348

## 2025-04-14 17:59:33.904126 INFO::Creating boxplot for categorical data, diagnosis vs F133

## 2025-04-14 17:59:34.069362 INFO::Creating boxplot for categorical data, diagnosis vs F371

## 2025-04-14 17:59:34.239122 INFO::Creating boxplot for categorical data, diagnosis vs F113

## 2025-04-14 17:59:34.409209 INFO::Creating boxplot for categorical data, diagnosis vs F336

## 2025-04-14 17:59:34.618859 INFO::Creating boxplot for categorical data, diagnosis vs F399

## 2025-04-14 17:59:34.790536 INFO::Creating boxplot for categorical data, diagnosis vs F416

## 2025-04-14 17:59:34.96133 INFO::Creating boxplot for categorical data, diagnosis vs F657

## 2025-04-14 17:59:35.135436 INFO::Creating boxplot for categorical data, diagnosis vs F241

## 2025-04-14 17:59:35.309528 INFO::Creating boxplot for categorical data, diagnosis vs F95

## 2025-04-14 17:59:35.498941 INFO::Creating boxplot for categorical data, diagnosis vs F128

## 2025-04-14 17:59:35.669698 INFO::Creating boxplot for categorical data, diagnosis vs F595

## 2025-04-14 17:59:35.839859 INFO::Creating boxplot for categorical data, diagnosis vs F428

## 2025-04-14 17:59:36.01238 INFO::Creating boxplot for categorical data, diagnosis vs F796

## 2025-04-14 17:59:36.186388 INFO::Creating boxplot for categorical data, diagnosis vs F709

## 2025-04-14 17:59:36.380267 INFO::Creating boxplot for categorical data, diagnosis vs F602

## 2025-04-14 17:59:36.549771 INFO::Creating boxplot for categorical data, diagnosis vs F293

## 2025-04-14 17:59:36.718424 INFO::Creating boxplot for categorical data, diagnosis vs F867

## 2025-04-14 17:59:36.889354 INFO::Creating boxplot for categorical data, diagnosis vs F108

## 2025-04-14 17:59:37.061466 INFO::Creating boxplot for categorical data, diagnosis vs F846

## 2025-04-14 17:59:37.251336 INFO::Creating boxplot for categorical data, diagnosis vs F633

## 2025-04-14 17:59:37.419416 INFO::Creating boxplot for categorical data, diagnosis vs F564

## 2025-04-14 17:59:37.58591 INFO::Creating boxplot for categorical data, diagnosis vs F183

## 2025-04-14 17:59:37.757725 INFO::Creating boxplot for categorical data, diagnosis vs F647

## 2025-04-14 17:59:37.932445 INFO::Creating boxplot for categorical data, diagnosis vs F288

## 2025-04-14 17:59:38.121161 INFO::Creating boxplot for categorical data, diagnosis vs F159

## 2025-04-14 17:59:38.293186 INFO::Creating boxplot for categorical data, diagnosis vs F638

## 2025-04-14 17:59:38.459138 INFO::Creating boxplot for categorical data, diagnosis vs F484

## 2025-04-14 17:59:38.629246 INFO::Creating boxplot for categorical data, diagnosis vs F20

## 2025-04-14 17:59:38.803597 INFO::Creating boxplot for categorical data, diagnosis vs F19

## 2025-04-14 17:59:38.996939 INFO::Creating boxplot for categorical data, diagnosis vs F897

## 2025-04-14 17:59:39.169575 INFO::Creating boxplot for categorical data, diagnosis vs F442

## 2025-04-14 17:59:39.344597 INFO::Creating boxplot for categorical data, diagnosis vs F372

## 2025-04-14 17:59:39.520596 INFO::Creating boxplot for categorical data, diagnosis vs F771

## 2025-04-14 17:59:39.70517 INFO::Creating boxplot for categorical data, diagnosis vs F370

## 2025-04-14 17:59:39.883966 INFO::Creating boxplot for categorical data, diagnosis vs F620

## 2025-04-14 17:59:40.054518 INFO::Creating boxplot for categorical data, diagnosis vs F753

## 2025-04-14 17:59:40.223274 INFO::Creating boxplot for categorical data, diagnosis vs F568

## 2025-04-14 17:59:40.395563 INFO::Creating boxplot for categorical data, diagnosis vs F312

## 2025-04-14 17:59:40.587831 INFO::Creating boxplot for categorical data, diagnosis vs F485

## 2025-04-14 17:59:40.764724 INFO::Creating boxplot for categorical data, diagnosis vs F627

## 2025-04-14 17:59:40.93555 INFO::Creating boxplot for categorical data, diagnosis vs F72

## 2025-04-14 17:59:41.112976 INFO::Creating boxplot for categorical data, diagnosis vs F575

## 2025-04-14 17:59:41.287752 INFO::Creating boxplot for categorical data, diagnosis vs F332

## 2025-04-14 17:59:41.478719 INFO::Creating boxplot for categorical data, diagnosis vs F674

## 2025-04-14 17:59:41.653066 INFO::Creating boxplot for categorical data, diagnosis vs F537

## 2025-04-14 17:59:41.826446 INFO::Creating boxplot for categorical data, diagnosis vs F839

## 2025-04-14 17:59:42.000564 INFO::Creating boxplot for categorical data, diagnosis vs F715

## 2025-04-14 17:59:42.173806 INFO::Creating boxplot for categorical data, diagnosis vs F768

## 2025-04-14 17:59:42.368601 INFO::Creating boxplot for categorical data, diagnosis vs F202

## 2025-04-14 17:59:42.542683 INFO::Creating boxplot for categorical data, diagnosis vs F756

## 2025-04-14 17:59:42.711457 INFO::Creating boxplot for categorical data, diagnosis vs F536

## 2025-04-14 17:59:42.890181 INFO::Creating boxplot for categorical data, diagnosis vs F677

## 2025-04-14 17:59:43.065188 INFO::Creating boxplot for categorical data, diagnosis vs F435

## 2025-04-14 17:59:43.257523 INFO::Creating boxplot for categorical data, diagnosis vs F574

## 2025-04-14 17:59:43.428091 INFO::Creating boxplot for categorical data, diagnosis vs F70

## 2025-04-14 17:59:43.60337 INFO::Creating boxplot for categorical data, diagnosis vs F146

## 2025-04-14 17:59:43.780243 INFO::Creating boxplot for categorical data, diagnosis vs F236

## 2025-04-14 17:59:43.960394 INFO::Creating boxplot for categorical data, diagnosis vs F527

## 2025-04-14 17:59:44.152461 INFO::Creating boxplot for categorical data, diagnosis vs F624

## 2025-04-14 17:59:44.321277 INFO::Creating boxplot for categorical data, diagnosis vs F426

## 2025-04-14 17:59:44.492228 INFO::Creating boxplot for categorical data, diagnosis vs F880

## 2025-04-14 17:59:44.665661 INFO::Creating boxplot for categorical data, diagnosis vs F549

## 2025-04-14 17:59:44.8613 INFO::Creating boxplot for categorical data, diagnosis vs F49

## 2025-04-14 17:59:45.037718 INFO::Creating boxplot for categorical data, diagnosis vs F67

## 2025-04-14 17:59:45.214606 INFO::Creating boxplot for categorical data, diagnosis vs F491

## 2025-04-14 17:59:45.390411 INFO::Creating boxplot for categorical data, diagnosis vs F174

## 2025-04-14 17:59:45.561233 INFO::Creating boxplot for categorical data, diagnosis vs F254

## 2025-04-14 17:59:45.750354 INFO::Creating boxplot for categorical data, diagnosis vs F112

## 2025-04-14 17:59:45.917991 INFO::Creating boxplot for categorical data, diagnosis vs F235

## 2025-04-14 17:59:46.083122 INFO::Creating boxplot for categorical data, diagnosis vs F833

## 2025-04-14 17:59:46.257503 INFO::Creating boxplot for categorical data, diagnosis vs F752

## 2025-04-14 17:59:46.432093 INFO::Creating boxplot for categorical data, diagnosis vs F792

## 2025-04-14 17:59:46.621258 INFO::Creating boxplot for categorical data, diagnosis vs F422

## 2025-04-14 17:59:46.788872 INFO::Creating boxplot for categorical data, diagnosis vs F6

## 2025-04-14 17:59:46.958136 INFO::Creating boxplot for categorical data, diagnosis vs F463

## 2025-04-14 17:59:47.130501 INFO::Creating boxplot for categorical data, diagnosis vs F706

## 2025-04-14 17:59:47.319836 INFO::Creating boxplot for categorical data, diagnosis vs F642

## 2025-04-14 17:59:47.521946 INFO::Creating boxplot for categorical data, diagnosis vs F65

## 2025-04-14 17:59:47.691079 INFO::Creating boxplot for categorical data, diagnosis vs F102

## 2025-04-14 17:59:47.863327 INFO::Creating boxplot for categorical data, diagnosis vs F783

## 2025-04-14 17:59:48.035087 INFO::Creating boxplot for categorical data, diagnosis vs F478

## 2025-04-14 17:59:48.22464 INFO::Creating boxplot for categorical data, diagnosis vs F889

## 2025-04-14 17:59:48.399875 INFO::Creating boxplot for categorical data, diagnosis vs F350

## 2025-04-14 17:59:48.569444 INFO::Creating boxplot for categorical data, diagnosis vs F681

## 2025-04-14 17:59:48.74054 INFO::Creating boxplot for categorical data, diagnosis vs F748

## 2025-04-14 17:59:48.91699 INFO::Creating boxplot for categorical data, diagnosis vs F762

## 2025-04-14 17:59:49.107046 INFO::Creating boxplot for categorical data, diagnosis vs F852

## 2025-04-14 17:59:49.277847 INFO::Creating boxplot for categorical data, diagnosis vs F180

## 2025-04-14 17:59:49.447228 INFO::Creating boxplot for categorical data, diagnosis vs F248

## 2025-04-14 17:59:49.621855 INFO::Creating boxplot for categorical data, diagnosis vs F759

## 2025-04-14 17:59:49.79777 INFO::Creating boxplot for categorical data, diagnosis vs F824

## 2025-04-14 17:59:49.98462 INFO::Creating boxplot for categorical data, diagnosis vs F145

## 2025-04-14 17:59:50.154443 INFO::Creating boxplot for categorical data, diagnosis vs F16

## 2025-04-14 17:59:50.324464 INFO::Creating boxplot for categorical data, diagnosis vs F169

## 2025-04-14 17:59:50.500738 INFO::Creating boxplot for categorical data, diagnosis vs F392

## 2025-04-14 17:59:50.692312 INFO::Creating boxplot for categorical data, diagnosis vs F468

## 2025-04-14 17:59:50.87111 INFO::Creating boxplot for categorical data, diagnosis vs F476

## 2025-04-14 17:59:51.038872 INFO::Creating boxplot for categorical data, diagnosis vs F699

## 2025-04-14 17:59:51.223 INFO::Creating boxplot for categorical data, diagnosis vs F735

## 2025-04-14 17:59:51.395243 INFO::Creating boxplot for categorical data, diagnosis vs F182

## 2025-04-14 17:59:51.588314 INFO::Creating boxplot for categorical data, diagnosis vs F64

## 2025-04-14 17:59:51.756136 INFO::Creating boxplot for categorical data, diagnosis vs F203

## 2025-04-14 17:59:51.928893 INFO::Creating boxplot for categorical data, diagnosis vs F877

## 2025-04-14 17:59:52.103993 INFO::Creating boxplot for categorical data, diagnosis vs F433

## 2025-04-14 17:59:52.278511 INFO::Creating boxplot for categorical data, diagnosis vs F739

## 2025-04-14 17:59:52.515342 INFO::Creating boxplot for categorical data, diagnosis vs F749

## 2025-04-14 17:59:52.685463 INFO::Creating boxplot for categorical data, diagnosis vs F382

## 2025-04-14 17:59:52.851868 INFO::Creating boxplot for categorical data, diagnosis vs F162

## 2025-04-14 17:59:53.026113 INFO::Creating boxplot for categorical data, diagnosis vs F438

## 2025-04-14 17:59:53.202219 INFO::Creating boxplot for categorical data, diagnosis vs F360

## 2025-04-14 17:59:53.394209 INFO::Creating boxplot for categorical data, diagnosis vs F56

## 2025-04-14 17:59:53.566753 INFO::Creating boxplot for categorical data, diagnosis vs F529

## 2025-04-14 17:59:53.739093 INFO::Creating boxplot for categorical data, diagnosis vs F48

## 2025-04-14 17:59:53.911305 INFO::Creating boxplot for categorical data, diagnosis vs F826

## 2025-04-14 17:59:54.083337 INFO::Creating boxplot for categorical data, diagnosis vs F488

## 2025-04-14 17:59:54.267959 INFO::Creating boxplot for categorical data, diagnosis vs F309

## 2025-04-14 17:59:54.437018 INFO::Creating boxplot for categorical data, diagnosis vs F834

## 2025-04-14 17:59:54.609143 INFO::Creating boxplot for categorical data, diagnosis vs F449

## 2025-04-14 17:59:54.783253 INFO::Creating boxplot for categorical data, diagnosis vs F77

## 2025-04-14 17:59:54.969189 INFO::Creating boxplot for categorical data, diagnosis vs F365

## 2025-04-14 17:59:55.172233 INFO::Creating boxplot for categorical data, diagnosis vs F346

## 2025-04-14 17:59:55.364906 INFO::Creating boxplot for categorical data, diagnosis vs F654

## 2025-04-14 17:59:55.542495 INFO::Creating boxplot for categorical data, diagnosis vs F79

## 2025-04-14 17:59:55.725061 INFO::Creating boxplot for categorical data, diagnosis vs F785

## 2025-04-14 17:59:55.923043 INFO::Creating boxplot for categorical data, diagnosis vs F415

## 2025-04-14 17:59:56.100015 INFO::Creating boxplot for categorical data, diagnosis vs F466

## 2025-04-14 17:59:56.276943 INFO::Creating boxplot for categorical data, diagnosis vs F643

## 2025-04-14 17:59:56.449077 INFO::Creating boxplot for categorical data, diagnosis vs F160

## 2025-04-14 17:59:56.623383 INFO::Creating boxplot for categorical data, diagnosis vs F69

## 2025-04-14 17:59:56.811257 INFO::Creating boxplot for categorical data, diagnosis vs F498

## 2025-04-14 17:59:56.988084 INFO::Creating boxplot for categorical data, diagnosis vs F207

## 2025-04-14 17:59:57.162361 INFO::Creating boxplot for categorical data, diagnosis vs F679

## 2025-04-14 17:59:57.335174 INFO::Creating boxplot for categorical data, diagnosis vs F618

## 2025-04-14 17:59:57.512135 INFO::Creating boxplot for categorical data, diagnosis vs F255

## 2025-04-14 17:59:57.700132 INFO::Creating boxplot for categorical data, diagnosis vs F267

## 2025-04-14 17:59:57.875132 INFO::Creating boxplot for categorical data, diagnosis vs F143

## 2025-04-14 17:59:58.043411 INFO::Creating boxplot for categorical data, diagnosis vs F286

## 2025-04-14 17:59:58.216559 INFO::Creating boxplot for categorical data, diagnosis vs F562

## 2025-04-14 17:59:58.393141 INFO::Creating boxplot for categorical data, diagnosis vs F100

## 2025-04-14 17:59:58.583222 INFO::Creating boxplot for categorical data, diagnosis vs F374

## 2025-04-14 17:59:58.75977 INFO::Creating boxplot for categorical data, diagnosis vs F535

## 2025-04-14 17:59:58.931224 INFO::Creating boxplot for categorical data, diagnosis vs F658

## 2025-04-14 17:59:59.115923 INFO::Creating boxplot for categorical data, diagnosis vs F707

## 2025-04-14 17:59:59.303423 INFO::Creating boxplot for categorical data, diagnosis vs F325

## 2025-04-14 17:59:59.50401 INFO::Creating boxplot for categorical data, diagnosis vs F89

## 2025-04-14 17:59:59.676604 INFO::Creating boxplot for categorical data, diagnosis vs F214

## 2025-04-14 17:59:59.848796 INFO::Creating boxplot for categorical data, diagnosis vs F578

## 2025-04-14 18:00:00.02389 INFO::Creating boxplot for categorical data, diagnosis vs F790

## 2025-04-14 18:00:00.208286 INFO::Creating boxplot for categorical data, diagnosis vs F265

## 2025-04-14 18:00:00.38845 INFO::Creating boxplot for categorical data, diagnosis vs F253

## 2025-04-14 18:00:00.561275 INFO::Creating boxplot for categorical data, diagnosis vs F294

## 2025-04-14 18:00:00.733425 INFO::Creating boxplot for categorical data, diagnosis vs F410

## 2025-04-14 18:00:00.911365 INFO::Creating boxplot for categorical data, diagnosis vs F614

## 2025-04-14 18:00:01.102235 INFO::Creating boxplot for categorical data, diagnosis vs F764

## 2025-04-14 18:00:01.285289 INFO::Creating boxplot for categorical data, diagnosis vs F59

## 2025-04-14 18:00:01.457298 INFO::Creating boxplot for categorical data, diagnosis vs F675

## 2025-04-14 18:00:01.633442 INFO::Creating boxplot for categorical data, diagnosis vs F441

## 2025-04-14 18:00:01.811467 INFO::Creating boxplot for categorical data, diagnosis vs F193

## 2025-04-14 18:00:02.002859 INFO::Creating boxplot for categorical data, diagnosis vs F689

## 2025-04-14 18:00:02.185597 INFO::Creating boxplot for categorical data, diagnosis vs F249

## 2025-04-14 18:00:02.355959 INFO::Creating boxplot for categorical data, diagnosis vs F821

## 2025-04-14 18:00:02.531751 INFO::Creating boxplot for categorical data, diagnosis vs F351

## 2025-04-14 18:00:02.705759 INFO::Creating boxplot for categorical data, diagnosis vs F66

## 2025-04-14 18:00:02.896743 INFO::Creating boxplot for categorical data, diagnosis vs F413

## 2025-04-14 18:00:03.070935 INFO::Creating boxplot for categorical data, diagnosis vs F172

## 2025-04-14 18:00:03.244415 INFO::Creating boxplot for categorical data, diagnosis vs F317

## 2025-04-14 18:00:03.42093 INFO::Creating boxplot for categorical data, diagnosis vs F167

## 2025-04-14 18:00:03.597 INFO::Creating boxplot for categorical data, diagnosis vs F229

## 2025-04-14 18:00:03.787207 INFO::Creating boxplot for categorical data, diagnosis vs F243

## 2025-04-14 18:00:03.961897 INFO::Creating boxplot for categorical data, diagnosis vs F732

## 2025-04-14 18:00:04.133688 INFO::Creating boxplot for categorical data, diagnosis vs F467

## 2025-04-14 18:00:04.304308 INFO::Creating boxplot for categorical data, diagnosis vs F474

## 2025-04-14 18:00:04.492609 INFO::Creating boxplot for categorical data, diagnosis vs F156

## 2025-04-14 18:00:04.665944 INFO::Creating boxplot for categorical data, diagnosis vs F786

## 2025-04-14 18:00:04.834009 INFO::Creating boxplot for categorical data, diagnosis vs F216

## 2025-04-14 18:00:05.009592 INFO::Creating boxplot for categorical data, diagnosis vs F85

## 2025-04-14 18:00:05.190155 INFO::Creating boxplot for categorical data, diagnosis vs F621

## 2025-04-14 18:00:05.387775 INFO::Creating boxplot for categorical data, diagnosis vs F558

## 2025-04-14 18:00:05.566541 INFO::Creating boxplot for categorical data, diagnosis vs F582

## 2025-04-14 18:00:05.734252 INFO::Creating boxplot for categorical data, diagnosis vs F898

## 2025-04-14 18:00:05.908603 INFO::Creating boxplot for categorical data, diagnosis vs F402

## 2025-04-14 18:00:06.088314 INFO::Creating boxplot for categorical data, diagnosis vs F71

## 2025-04-14 18:00:06.281099 INFO::Creating boxplot for categorical data, diagnosis vs F99

## 2025-04-14 18:00:06.4624 INFO::Creating boxplot for categorical data, diagnosis vs F366

## 2025-04-14 18:00:06.636409 INFO::Creating boxplot for categorical data, diagnosis vs F778

## 2025-04-14 18:00:06.816283 INFO::Creating boxplot for categorical data, diagnosis vs F188

## 2025-04-14 18:00:07.026036 INFO::Creating boxplot for categorical data, diagnosis vs F857

## 2025-04-14 18:00:07.204124 INFO::Creating boxplot for categorical data, diagnosis vs F440

## 2025-04-14 18:00:07.377427 INFO::Creating boxplot for categorical data, diagnosis vs F799

## 2025-04-14 18:00:07.554859 INFO::Creating boxplot for categorical data, diagnosis vs F482

## 2025-04-14 18:00:07.727755 INFO::Creating boxplot for categorical data, diagnosis vs F212

## 2025-04-14 18:00:07.918703 INFO::Creating boxplot for categorical data, diagnosis vs F882

## 2025-04-14 18:00:08.101026 INFO::Creating boxplot for categorical data, diagnosis vs F599

## 2025-04-14 18:00:08.274716 INFO::Creating boxplot for categorical data, diagnosis vs F302

## 2025-04-14 18:00:08.452209 INFO::Creating boxplot for categorical data, diagnosis vs F543

## 2025-04-14 18:00:08.63866 INFO::Creating boxplot for categorical data, diagnosis vs F269

## 2025-04-14 18:00:08.838059 INFO::Creating boxplot for categorical data, diagnosis vs F650

## 2025-04-14 18:00:09.018353 INFO::Creating boxplot for categorical data, diagnosis vs F456

## 2025-04-14 18:00:09.192683 INFO::Creating boxplot for categorical data, diagnosis vs F573

## 2025-04-14 18:00:09.36605 INFO::Creating boxplot for categorical data, diagnosis vs F8

## 2025-04-14 18:00:09.553247 INFO::Creating boxplot for categorical data, diagnosis vs F810

## 2025-04-14 18:00:09.727608 INFO::Creating boxplot for categorical data, diagnosis vs F401

## 2025-04-14 18:00:09.896308 INFO::Creating boxplot for categorical data, diagnosis vs F606

## 2025-04-14 18:00:10.065125 INFO::Creating boxplot for categorical data, diagnosis vs F662

## 2025-04-14 18:00:10.239052 INFO::Creating boxplot for categorical data, diagnosis vs F765

## 2025-04-14 18:00:10.454689 INFO::Creating boxplot for categorical data, diagnosis vs F887

## 2025-04-14 18:00:10.629763 INFO::Creating boxplot for categorical data, diagnosis vs F770

## 2025-04-14 18:00:10.804396 INFO::Creating boxplot for categorical data, diagnosis vs F469

## 2025-04-14 18:00:10.982439 INFO::Creating boxplot for categorical data, diagnosis vs F86

## 2025-04-14 18:00:11.161468 INFO::Creating boxplot for categorical data, diagnosis vs F400

## 2025-04-14 18:00:11.356893 INFO::Creating boxplot for categorical data, diagnosis vs F579

## 2025-04-14 18:00:11.535243 INFO::Creating boxplot for categorical data, diagnosis vs F871

## 2025-04-14 18:00:11.719856 INFO::Creating boxplot for categorical data, diagnosis vs F37

## 2025-04-14 18:00:11.895161 INFO::Creating boxplot for categorical data, diagnosis vs F446

## 2025-04-14 18:00:12.067385 INFO::Creating boxplot for categorical data, diagnosis vs F218

## 2025-04-14 18:00:12.262096 INFO::Creating boxplot for categorical data, diagnosis vs F321

## 2025-04-14 18:00:12.433912 INFO::Creating boxplot for categorical data, diagnosis vs F487

## 2025-04-14 18:00:12.606217 INFO::Creating boxplot for categorical data, diagnosis vs F740

## 2025-04-14 18:00:12.777153 INFO::Creating boxplot for categorical data, diagnosis vs F141

## 2025-04-14 18:00:12.945281 INFO::Creating boxplot for categorical data, diagnosis vs F327

## 2025-04-14 18:00:13.134247 INFO::Creating boxplot for categorical data, diagnosis vs F196

## 2025-04-14 18:00:13.310431 INFO::Creating boxplot for categorical data, diagnosis vs F883

## 2025-04-14 18:00:13.483855 INFO::Creating boxplot for categorical data, diagnosis vs F279

## 2025-04-14 18:00:13.657464 INFO::Creating boxplot for categorical data, diagnosis vs F838

## 2025-04-14 18:00:13.83285 INFO::Creating boxplot for categorical data, diagnosis vs F451

## 2025-04-14 18:00:14.029581 INFO::Creating boxplot for categorical data, diagnosis vs F854

## 2025-04-14 18:00:14.204757 INFO::Creating boxplot for categorical data, diagnosis vs F434

## 2025-04-14 18:00:14.385967 INFO::Creating boxplot for categorical data, diagnosis vs F519

## 2025-04-14 18:00:14.560261 INFO::Creating boxplot for categorical data, diagnosis vs F694

## 2025-04-14 18:00:14.754024 INFO::Creating boxplot for categorical data, diagnosis vs F561

## 2025-04-14 18:00:14.938329 INFO::Creating boxplot for categorical data, diagnosis vs F10

## 2025-04-14 18:00:15.11455 INFO::Creating boxplot for categorical data, diagnosis vs F303

## 2025-04-14 18:00:15.287952 INFO::Creating boxplot for categorical data, diagnosis vs F512

## 2025-04-14 18:00:15.46602 INFO::Creating boxplot for categorical data, diagnosis vs F645

## 2025-04-14 18:00:15.657357 INFO::Creating boxplot for categorical data, diagnosis vs F793

## 2025-04-14 18:00:15.834254 INFO::Creating boxplot for categorical data, diagnosis vs F404

## 2025-04-14 18:00:16.006891 INFO::Creating boxplot for categorical data, diagnosis vs F362

## 2025-04-14 18:00:16.181462 INFO::Creating boxplot for categorical data, diagnosis vs F525

## 2025-04-14 18:00:16.356509 INFO::Creating boxplot for categorical data, diagnosis vs F742

## 2025-04-14 18:00:16.595759 INFO::Creating boxplot for categorical data, diagnosis vs F276

## 2025-04-14 18:00:16.789802 INFO::Creating boxplot for categorical data, diagnosis vs F499

## 2025-04-14 18:00:16.975559 INFO::Creating boxplot for categorical data, diagnosis vs F328

## 2025-04-14 18:00:17.155594 INFO::Creating boxplot for categorical data, diagnosis vs F787

## 2025-04-14 18:00:17.336667 INFO::Creating boxplot for categorical data, diagnosis vs F30

## 2025-04-14 18:00:17.535911 INFO::Creating boxplot for categorical data, diagnosis vs F122

## 2025-04-14 18:00:17.715093 INFO::Creating boxplot for categorical data, diagnosis vs F619

## 2025-04-14 18:00:17.888189 INFO::Creating boxplot for categorical data, diagnosis vs F572

## 2025-04-14 18:00:18.063042 INFO::Creating boxplot for categorical data, diagnosis vs F47

## 2025-04-14 18:00:18.238136 INFO::Creating boxplot for categorical data, diagnosis vs F570

## 2025-04-14 18:00:18.432456 INFO::Creating boxplot for categorical data, diagnosis vs F26

## 2025-04-14 18:00:18.612136 INFO::Creating boxplot for categorical data, diagnosis vs F252

## 2025-04-14 18:00:18.791157 INFO::Creating boxplot for categorical data, diagnosis vs F117

## 2025-04-14 18:00:18.969463 INFO::Creating boxplot for categorical data, diagnosis vs F683

## 2025-04-14 18:00:19.164732 INFO::Creating boxplot for categorical data, diagnosis vs F395

## 2025-04-14 18:00:19.358983 INFO::Creating boxplot for categorical data, diagnosis vs F822

## 2025-04-14 18:00:19.545178 INFO::Creating boxplot for categorical data, diagnosis vs F46

## 2025-04-14 18:00:19.730186 INFO::Creating boxplot for categorical data, diagnosis vs F154

## 2025-04-14 18:00:19.930991 INFO::Creating boxplot for categorical data, diagnosis vs F540

## 2025-04-14 18:00:20.134857 INFO::Creating boxplot for categorical data, diagnosis vs F884

## 2025-04-14 18:00:20.315485 INFO::Creating boxplot for categorical data, diagnosis vs F368

## 2025-04-14 18:00:20.499557 INFO::Creating boxplot for categorical data, diagnosis vs F607

## 2025-04-14 18:00:20.680371 INFO::Creating boxplot for categorical data, diagnosis vs F111

## 2025-04-14 18:00:20.856098 INFO::Creating boxplot for categorical data, diagnosis vs F745

## 2025-04-14 18:00:21.056454 INFO::Creating boxplot for categorical data, diagnosis vs F673

## 2025-04-14 18:00:21.235455 INFO::Creating boxplot for categorical data, diagnosis vs F92

## 2025-04-14 18:00:21.413174 INFO::Creating boxplot for categorical data, diagnosis vs F493

## 2025-04-14 18:00:21.617429 INFO::Creating boxplot for categorical data, diagnosis vs F835

## 2025-04-14 18:00:21.817854 INFO::Creating boxplot for categorical data, diagnosis vs F872

## 2025-04-14 18:00:22.034341 INFO::Creating boxplot for categorical data, diagnosis vs F879

## 2025-04-14 18:00:22.233197 INFO::Creating boxplot for categorical data, diagnosis vs F432

## 2025-04-14 18:00:22.410332 INFO::Creating boxplot for categorical data, diagnosis vs F518

## 2025-04-14 18:00:22.587744 INFO::Creating boxplot for categorical data, diagnosis vs F44

## 2025-04-14 18:00:22.786803 INFO::Creating boxplot for categorical data, diagnosis vs F240

## 2025-04-14 18:00:22.96876 INFO::Creating boxplot for categorical data, diagnosis vs F819

## 2025-04-14 18:00:23.145004 INFO::Creating boxplot for categorical data, diagnosis vs F411

## 2025-04-14 18:00:23.321342 INFO::Creating boxplot for categorical data, diagnosis vs F353

## 2025-04-14 18:00:23.498049 INFO::Creating boxplot for categorical data, diagnosis vs F763

## 2025-04-14 18:00:23.705235 INFO::Creating boxplot for categorical data, diagnosis vs F97

## 2025-04-14 18:00:23.889502 INFO::Creating boxplot for categorical data, diagnosis vs F40

## 2025-04-14 18:00:24.068667 INFO::Creating boxplot for categorical data, diagnosis vs F652

## 2025-04-14 18:00:24.251806 INFO::Creating boxplot for categorical data, diagnosis vs F789

## 2025-04-14 18:00:24.43479 INFO::Creating boxplot for categorical data, diagnosis vs F25

## 2025-04-14 18:00:24.632674 INFO::Creating boxplot for categorical data, diagnosis vs F256

## 2025-04-14 18:00:24.811111 INFO::Creating boxplot for categorical data, diagnosis vs F423

## 2025-04-14 18:00:24.987678 INFO::Creating boxplot for categorical data, diagnosis vs F594

## 2025-04-14 18:00:25.169094 INFO::Creating boxplot for categorical data, diagnosis vs F201

## 2025-04-14 18:00:25.370949 INFO::Creating boxplot for categorical data, diagnosis vs F813

## 2025-04-14 18:00:25.566571 INFO::Creating boxplot for categorical data, diagnosis vs F653

## 2025-04-14 18:00:25.750473 INFO::Creating boxplot for categorical data, diagnosis vs F524

## 2025-04-14 18:00:25.925374 INFO::Creating boxplot for categorical data, diagnosis vs F777

## 2025-04-14 18:00:26.104186 INFO::Creating boxplot for categorical data, diagnosis vs F226

## 2025-04-14 18:00:26.312627 INFO::Creating boxplot for categorical data, diagnosis vs F227

## 2025-04-14 18:00:26.501767 INFO::Creating boxplot for categorical data, diagnosis vs F521

## 2025-04-14 18:00:26.688004 INFO::Creating boxplot for categorical data, diagnosis vs F14

## 2025-04-14 18:00:26.863118 INFO::Creating boxplot for categorical data, diagnosis vs F310

## 2025-04-14 18:00:27.046918 INFO::Creating boxplot for categorical data, diagnosis vs F452

## 2025-04-14 18:00:27.261924 INFO::Creating boxplot for categorical data, diagnosis vs F52

## 2025-04-14 18:00:27.454049 INFO::Creating boxplot for categorical data, diagnosis vs F53

## 2025-04-14 18:00:27.642662 INFO::Creating boxplot for categorical data, diagnosis vs F844

## 2025-04-14 18:00:27.828273 INFO::Creating boxplot for categorical data, diagnosis vs F31

## 2025-04-14 18:00:28.037185 INFO::Creating boxplot for categorical data, diagnosis vs F795

## 2025-04-14 18:00:28.233244 INFO::Creating boxplot for categorical data, diagnosis vs F766

## 2025-04-14 18:00:28.417525 INFO::Creating boxplot for categorical data, diagnosis vs F342

## 2025-04-14 18:00:28.616971 INFO::Creating boxplot for categorical data, diagnosis vs F408

## 2025-04-14 18:00:28.797966 INFO::Creating boxplot for categorical data, diagnosis vs F282

## 2025-04-14 18:00:29.053409 INFO::Creating boxplot for categorical data, diagnosis vs F508

## 2025-04-14 18:00:29.232469 INFO::Creating boxplot for categorical data, diagnosis vs F805

## 2025-04-14 18:00:29.412918 INFO::Creating boxplot for categorical data, diagnosis vs F337

## 2025-04-14 18:00:29.603071 INFO::Creating boxplot for categorical data, diagnosis vs F820

## 2025-04-14 18:00:29.785934 INFO::Creating boxplot for categorical data, diagnosis vs F593

## 2025-04-14 18:00:29.985064 INFO::Creating boxplot for categorical data, diagnosis vs F701

## 2025-04-14 18:00:30.167981 INFO::Creating boxplot for categorical data, diagnosis vs F459

## 2025-04-14 18:00:30.349382 INFO::Creating boxplot for categorical data, diagnosis vs F305

## 2025-04-14 18:00:30.532753 INFO::Creating boxplot for categorical data, diagnosis vs F142

## 2025-04-14 18:00:30.713462 INFO::Creating boxplot for categorical data, diagnosis vs F534

## 2025-04-14 18:00:30.910495 INFO::Creating boxplot for categorical data, diagnosis vs F135

## 2025-04-14 18:00:31.092372 INFO::Creating boxplot for categorical data, diagnosis vs F702

## 2025-04-14 18:00:31.277761 INFO::Creating boxplot for categorical data, diagnosis vs F776

## 2025-04-14 18:00:31.460549 INFO::Creating boxplot for categorical data, diagnosis vs F295

## 2025-04-14 18:00:31.643716 INFO::Creating boxplot for categorical data, diagnosis vs F355

## 2025-04-14 18:00:31.833767 INFO::Creating boxplot for categorical data, diagnosis vs F797

## 2025-04-14 18:00:32.010707 INFO::Creating boxplot for categorical data, diagnosis vs F13

## 2025-04-14 18:00:32.188619 INFO::Creating boxplot for categorical data, diagnosis vs F356

## 2025-04-14 18:00:32.369071 INFO::Creating boxplot for categorical data, diagnosis vs F359

## 2025-04-14 18:00:32.559204 INFO::Creating boxplot for categorical data, diagnosis vs F121

## 2025-04-14 18:00:32.747186 INFO::Creating boxplot for categorical data, diagnosis vs F850

## 2025-04-14 18:00:32.924938 INFO::Creating boxplot for categorical data, diagnosis vs F899

## 2025-04-14 18:00:33.105497 INFO::Creating boxplot for categorical data, diagnosis vs F628

## 2025-04-14 18:00:33.277817 INFO::Creating boxplot for categorical data, diagnosis vs F843

## 2025-04-14 18:00:33.466465 INFO::Creating boxplot for categorical data, diagnosis vs F107

## 2025-04-14 18:00:33.64449 INFO::Creating boxplot for categorical data, diagnosis vs F287

## 2025-04-14 18:00:33.822897 INFO::Creating boxplot for categorical data, diagnosis vs F165

## 2025-04-14 18:00:34.00121 INFO::Creating boxplot for categorical data, diagnosis vs F557

## 2025-04-14 18:00:34.178273 INFO::Creating boxplot for categorical data, diagnosis vs F127

## 2025-04-14 18:00:34.371464 INFO::Creating boxplot for categorical data, diagnosis vs F299

## 2025-04-14 18:00:34.550575 INFO::Creating boxplot for categorical data, diagnosis vs F497

## 2025-04-14 18:00:34.729326 INFO::Creating boxplot for categorical data, diagnosis vs F711

## 2025-04-14 18:00:34.909534 INFO::Creating boxplot for categorical data, diagnosis vs F319

## 2025-04-14 18:00:35.084003 INFO::Creating boxplot for categorical data, diagnosis vs F271

## 2025-04-14 18:00:35.273069 INFO::Creating boxplot for categorical data, diagnosis vs F157

## 2025-04-14 18:00:35.447656 INFO::Creating boxplot for categorical data, diagnosis vs F560

## 2025-04-14 18:00:35.628411 INFO::Creating boxplot for categorical data, diagnosis vs F680

## 2025-04-14 18:00:35.808228 INFO::Creating boxplot for categorical data, diagnosis vs F580

## 2025-04-14 18:00:35.98804 INFO::Creating boxplot for categorical data, diagnosis vs F152

## 2025-04-14 18:00:36.195261 INFO::Creating boxplot for categorical data, diagnosis vs F12

## 2025-04-14 18:00:36.379702 INFO::Creating boxplot for categorical data, diagnosis vs F324

## 2025-04-14 18:00:36.563915 INFO::Creating boxplot for categorical data, diagnosis vs F893

## 2025-04-14 18:00:36.748748 INFO::Creating boxplot for categorical data, diagnosis vs F318

## 2025-04-14 18:00:36.947122 INFO::Creating boxplot for categorical data, diagnosis vs F784

## 2025-04-14 18:00:37.139476 INFO::Creating boxplot for categorical data, diagnosis vs F567

## 2025-04-14 18:00:37.330999 INFO::Creating boxplot for categorical data, diagnosis vs F457

## 2025-04-14 18:00:37.520377 INFO::Creating boxplot for categorical data, diagnosis vs F708

## 2025-04-14 18:00:37.69767 INFO::Creating boxplot for categorical data, diagnosis vs F669

## 2025-04-14 18:00:37.896311 INFO::Creating boxplot for categorical data, diagnosis vs F87

## 2025-04-14 18:00:40.203139 INFO::Plotting data for metadata number 2, antibiotics
## 2025-04-14 18:00:40.204994 INFO::Creating boxplot for categorical data, antibiotics vs F663

## 2025-04-14 18:00:40.39039 INFO::Creating boxplot for categorical data, antibiotics vs F838

## 2025-04-14 18:00:40.57771 INFO::Creating boxplot for categorical data, antibiotics vs F764

## 2025-04-14 18:00:40.763148 INFO::Creating boxplot for categorical data, antibiotics vs F880

## 2025-04-14 18:00:40.960807 INFO::Creating boxplot for categorical data, antibiotics vs F751

## 2025-04-14 18:00:41.149977 INFO::Creating boxplot for categorical data, antibiotics vs F288

## 2025-04-14 18:00:41.337114 INFO::Creating boxplot for categorical data, antibiotics vs F65

## 2025-04-14 18:00:41.525639 INFO::Creating boxplot for categorical data, antibiotics vs F742

## 2025-04-14 18:00:41.711418 INFO::Creating boxplot for categorical data, antibiotics vs F528

## 2025-04-14 18:00:41.920945 INFO::Creating boxplot for categorical data, antibiotics vs F790

## 2025-04-14 18:00:42.10763 INFO::Creating boxplot for categorical data, antibiotics vs F777

## 2025-04-14 18:00:42.296514 INFO::Creating boxplot for categorical data, antibiotics vs F178

## 2025-04-14 18:00:42.481832 INFO::Creating boxplot for categorical data, antibiotics vs F139

## 2025-04-14 18:00:42.685373 INFO::Creating boxplot for categorical data, antibiotics vs F202

## 2025-04-14 18:00:42.878214 INFO::Creating boxplot for categorical data, antibiotics vs F220

## 2025-04-14 18:00:43.067581 INFO::Creating boxplot for categorical data, antibiotics vs F397

## 2025-04-14 18:00:43.260236 INFO::Creating boxplot for categorical data, antibiotics vs F882

## 2025-04-14 18:00:43.447691 INFO::Creating boxplot for categorical data, antibiotics vs F446

## 2025-04-14 18:00:43.65858 INFO::Creating boxplot for categorical data, antibiotics vs F418

## 2025-04-14 18:00:43.859197 INFO::Creating boxplot for categorical data, antibiotics vs F133

## 2025-04-14 18:00:44.049888 INFO::Creating boxplot for categorical data, antibiotics vs F696

## 2025-04-14 18:00:44.235503 INFO::Creating boxplot for categorical data, antibiotics vs F548

## 2025-04-14 18:00:44.440725 INFO::Creating boxplot for categorical data, antibiotics vs F536

## 2025-04-14 18:00:44.632446 INFO::Creating boxplot for categorical data, antibiotics vs F194

## 2025-04-14 18:00:44.823164 INFO::Creating boxplot for categorical data, antibiotics vs F34

## 2025-04-14 18:00:45.013631 INFO::Creating boxplot for categorical data, antibiotics vs F153

## 2025-04-14 18:00:45.215821 INFO::Creating boxplot for categorical data, antibiotics vs F400

## 2025-04-14 18:00:45.406841 INFO::Creating boxplot for categorical data, antibiotics vs F794

## 2025-04-14 18:00:45.597813 INFO::Creating boxplot for categorical data, antibiotics vs F396

## 2025-04-14 18:00:45.792736 INFO::Creating boxplot for categorical data, antibiotics vs F182

## 2025-04-14 18:00:45.987388 INFO::Creating boxplot for categorical data, antibiotics vs F719

## 2025-04-14 18:00:46.198266 INFO::Creating boxplot for categorical data, antibiotics vs F109

## 2025-04-14 18:00:46.386464 INFO::Creating boxplot for categorical data, antibiotics vs F180

## 2025-04-14 18:00:46.578492 INFO::Creating boxplot for categorical data, antibiotics vs F552

## 2025-04-14 18:00:46.765407 INFO::Creating boxplot for categorical data, antibiotics vs F789

## 2025-04-14 18:00:46.972817 INFO::Creating boxplot for categorical data, antibiotics vs F893

## 2025-04-14 18:00:47.165329 INFO::Creating boxplot for categorical data, antibiotics vs F834

## 2025-04-14 18:00:47.356246 INFO::Creating boxplot for categorical data, antibiotics vs F889

## 2025-04-14 18:00:47.544029 INFO::Creating boxplot for categorical data, antibiotics vs F143

## 2025-04-14 18:00:47.784169 INFO::Creating boxplot for categorical data, antibiotics vs F224

## 2025-04-14 18:00:47.976989 INFO::Creating boxplot for categorical data, antibiotics vs F5

## 2025-04-14 18:00:48.16516 INFO::Creating boxplot for categorical data, antibiotics vs F873

## 2025-04-14 18:00:48.361952 INFO::Creating boxplot for categorical data, antibiotics vs F452

## 2025-04-14 18:00:48.552038 INFO::Creating boxplot for categorical data, antibiotics vs F681

## 2025-04-14 18:00:48.760739 INFO::Creating boxplot for categorical data, antibiotics vs F468

## 2025-04-14 18:00:48.948938 INFO::Creating boxplot for categorical data, antibiotics vs F731

## 2025-04-14 18:00:49.140606 INFO::Creating boxplot for categorical data, antibiotics vs F479

## 2025-04-14 18:00:49.33124 INFO::Creating boxplot for categorical data, antibiotics vs F520

## 2025-04-14 18:00:49.539282 INFO::Creating boxplot for categorical data, antibiotics vs F649

## 2025-04-14 18:00:49.735411 INFO::Creating boxplot for categorical data, antibiotics vs F259

## 2025-04-14 18:00:49.925589 INFO::Creating boxplot for categorical data, antibiotics vs F186

## 2025-04-14 18:00:50.116853 INFO::Creating boxplot for categorical data, antibiotics vs F312

## 2025-04-14 18:00:50.302508 INFO::Creating boxplot for categorical data, antibiotics vs F477

## 2025-04-14 18:00:50.512891 INFO::Creating boxplot for categorical data, antibiotics vs F4

## 2025-04-14 18:00:50.70275 INFO::Creating boxplot for categorical data, antibiotics vs F632

## 2025-04-14 18:00:50.896202 INFO::Creating boxplot for categorical data, antibiotics vs F31

## 2025-04-14 18:00:51.09013 INFO::Creating boxplot for categorical data, antibiotics vs F184

## 2025-04-14 18:00:51.294017 INFO::Creating boxplot for categorical data, antibiotics vs F7

## 2025-04-14 18:00:51.481798 INFO::Creating boxplot for categorical data, antibiotics vs F213

## 2025-04-14 18:00:51.670002 INFO::Creating boxplot for categorical data, antibiotics vs F691

## 2025-04-14 18:00:51.862258 INFO::Creating boxplot for categorical data, antibiotics vs F828

## 2025-04-14 18:00:52.051914 INFO::Creating boxplot for categorical data, antibiotics vs F831

## 2025-04-14 18:00:52.265906 INFO::Creating boxplot for categorical data, antibiotics vs F315

## 2025-04-14 18:00:52.457575 INFO::Creating boxplot for categorical data, antibiotics vs F159

## 2025-04-14 18:00:52.644571 INFO::Creating boxplot for categorical data, antibiotics vs F331

## 2025-04-14 18:00:52.835958 INFO::Creating boxplot for categorical data, antibiotics vs F757

## 2025-04-14 18:00:53.048952 INFO::Creating boxplot for categorical data, antibiotics vs F167

## 2025-04-14 18:00:53.243034 INFO::Creating boxplot for categorical data, antibiotics vs F85

## 2025-04-14 18:00:53.433029 INFO::Creating boxplot for categorical data, antibiotics vs F80

## 2025-04-14 18:00:53.626938 INFO::Creating boxplot for categorical data, antibiotics vs F105

## 2025-04-14 18:00:53.814109 INFO::Creating boxplot for categorical data, antibiotics vs F674

## 2025-04-14 18:00:54.028008 INFO::Creating boxplot for categorical data, antibiotics vs F50

## 2025-04-14 18:00:54.219411 INFO::Creating boxplot for categorical data, antibiotics vs F164

## 2025-04-14 18:00:54.410875 INFO::Creating boxplot for categorical data, antibiotics vs F840

## 2025-04-14 18:00:54.606077 INFO::Creating boxplot for categorical data, antibiotics vs F232

## 2025-04-14 18:00:54.81514 INFO::Creating boxplot for categorical data, antibiotics vs F872

## 2025-04-14 18:00:55.003655 INFO::Creating boxplot for categorical data, antibiotics vs F54

## 2025-04-14 18:00:55.193954 INFO::Creating boxplot for categorical data, antibiotics vs F365

## 2025-04-14 18:00:55.384621 INFO::Creating boxplot for categorical data, antibiotics vs F499

## 2025-04-14 18:00:55.575609 INFO::Creating boxplot for categorical data, antibiotics vs F510

## 2025-04-14 18:00:55.793231 INFO::Creating boxplot for categorical data, antibiotics vs F716

## 2025-04-14 18:00:55.981326 INFO::Creating boxplot for categorical data, antibiotics vs F454

## 2025-04-14 18:00:56.175363 INFO::Creating boxplot for categorical data, antibiotics vs F52

## 2025-04-14 18:00:56.36518 INFO::Creating boxplot for categorical data, antibiotics vs F273

## 2025-04-14 18:00:56.577809 INFO::Creating boxplot for categorical data, antibiotics vs F474

## 2025-04-14 18:00:56.765998 INFO::Creating boxplot for categorical data, antibiotics vs F267

## 2025-04-14 18:00:56.954981 INFO::Creating boxplot for categorical data, antibiotics vs F253

## 2025-04-14 18:00:57.146727 INFO::Creating boxplot for categorical data, antibiotics vs F247

## 2025-04-14 18:00:57.353071 INFO::Creating boxplot for categorical data, antibiotics vs F708

## 2025-04-14 18:00:57.548649 INFO::Creating boxplot for categorical data, antibiotics vs F438

## 2025-04-14 18:00:57.739355 INFO::Creating boxplot for categorical data, antibiotics vs F450

## 2025-04-14 18:00:57.939493 INFO::Creating boxplot for categorical data, antibiotics vs F666

## 2025-04-14 18:00:58.137957 INFO::Creating boxplot for categorical data, antibiotics vs F720

## 2025-04-14 18:00:58.358443 INFO::Creating boxplot for categorical data, antibiotics vs F48

## 2025-04-14 18:00:58.55785 INFO::Creating boxplot for categorical data, antibiotics vs F371

## 2025-04-14 18:00:58.75776 INFO::Creating boxplot for categorical data, antibiotics vs F423

## 2025-04-14 18:00:58.962155 INFO::Creating boxplot for categorical data, antibiotics vs F190

## 2025-04-14 18:00:59.185536 INFO::Creating boxplot for categorical data, antibiotics vs F351

## 2025-04-14 18:00:59.394925 INFO::Creating boxplot for categorical data, antibiotics vs F394

## 2025-04-14 18:00:59.609601 INFO::Creating boxplot for categorical data, antibiotics vs F581

## 2025-04-14 18:00:59.838628 INFO::Creating boxplot for categorical data, antibiotics vs F276

## 2025-04-14 18:01:00.045645 INFO::Creating boxplot for categorical data, antibiotics vs F608

## 2025-04-14 18:01:00.268926 INFO::Creating boxplot for categorical data, antibiotics vs F28

## 2025-04-14 18:01:00.473118 INFO::Creating boxplot for categorical data, antibiotics vs F805

## 2025-04-14 18:01:00.682042 INFO::Creating boxplot for categorical data, antibiotics vs F249

## 2025-04-14 18:01:00.888237 INFO::Creating boxplot for categorical data, antibiotics vs F776

## 2025-04-14 18:01:01.149395 INFO::Creating boxplot for categorical data, antibiotics vs F755

## 2025-04-14 18:01:01.379407 INFO::Creating boxplot for categorical data, antibiotics vs F68

## 2025-04-14 18:01:01.587238 INFO::Creating boxplot for categorical data, antibiotics vs F78

## 2025-04-14 18:01:01.79096 INFO::Creating boxplot for categorical data, antibiotics vs F381

## 2025-04-14 18:01:02.043724 INFO::Creating boxplot for categorical data, antibiotics vs F644

## 2025-04-14 18:01:02.240359 INFO::Creating boxplot for categorical data, antibiotics vs F358

## 2025-04-14 18:01:02.450559 INFO::Creating boxplot for categorical data, antibiotics vs F344

## 2025-04-14 18:01:02.664934 INFO::Creating boxplot for categorical data, antibiotics vs F209

## 2025-04-14 18:01:02.877369 INFO::Creating boxplot for categorical data, antibiotics vs F898

## 2025-04-14 18:01:03.102861 INFO::Creating boxplot for categorical data, antibiotics vs F51

## 2025-04-14 18:01:03.293175 INFO::Creating boxplot for categorical data, antibiotics vs F149

## 2025-04-14 18:01:03.486959 INFO::Creating boxplot for categorical data, antibiotics vs F108

## 2025-04-14 18:01:03.681327 INFO::Creating boxplot for categorical data, antibiotics vs F255

## 2025-04-14 18:01:03.905326 INFO::Creating boxplot for categorical data, antibiotics vs F823

## 2025-04-14 18:01:04.096161 INFO::Creating boxplot for categorical data, antibiotics vs F864

## 2025-04-14 18:01:04.285682 INFO::Creating boxplot for categorical data, antibiotics vs F214

## 2025-04-14 18:01:04.473575 INFO::Creating boxplot for categorical data, antibiotics vs F76

## 2025-04-14 18:01:04.686455 INFO::Creating boxplot for categorical data, antibiotics vs F575

## 2025-04-14 18:01:04.872676 INFO::Creating boxplot for categorical data, antibiotics vs F13

## 2025-04-14 18:01:05.059466 INFO::Creating boxplot for categorical data, antibiotics vs F389

## 2025-04-14 18:01:05.249298 INFO::Creating boxplot for categorical data, antibiotics vs F556

## 2025-04-14 18:01:05.454206 INFO::Creating boxplot for categorical data, antibiotics vs F49

## 2025-04-14 18:01:05.657221 INFO::Creating boxplot for categorical data, antibiotics vs F436

## 2025-04-14 18:01:05.849017 INFO::Creating boxplot for categorical data, antibiotics vs F378

## 2025-04-14 18:01:06.047143 INFO::Creating boxplot for categorical data, antibiotics vs F682

## 2025-04-14 18:01:06.243057 INFO::Creating boxplot for categorical data, antibiotics vs F47

## 2025-04-14 18:01:07.207126 INFO::Creating boxplot for categorical data, antibiotics vs F429

## 2025-04-14 18:01:07.393314 INFO::Creating boxplot for categorical data, antibiotics vs F588

## 2025-04-14 18:01:07.575156 INFO::Creating boxplot for categorical data, antibiotics vs F616

## 2025-04-14 18:01:07.762287 INFO::Creating boxplot for categorical data, antibiotics vs F323

## 2025-04-14 18:01:07.960217 INFO::Creating boxplot for categorical data, antibiotics vs F409

## 2025-04-14 18:01:08.139394 INFO::Creating boxplot for categorical data, antibiotics vs F326

## 2025-04-14 18:01:08.351138 INFO::Creating boxplot for categorical data, antibiotics vs F698

## 2025-04-14 18:01:08.550474 INFO::Creating boxplot for categorical data, antibiotics vs F567

## 2025-04-14 18:01:08.761077 INFO::Creating boxplot for categorical data, antibiotics vs F179

## 2025-04-14 18:01:08.977575 INFO::Creating boxplot for categorical data, antibiotics vs F787

## 2025-04-14 18:01:09.170718 INFO::Creating boxplot for categorical data, antibiotics vs F79

## 2025-04-14 18:01:09.349945 INFO::Creating boxplot for categorical data, antibiotics vs F335

## 2025-04-14 18:01:09.536819 INFO::Creating boxplot for categorical data, antibiotics vs F576

## 2025-04-14 18:01:09.733487 INFO::Creating boxplot for categorical data, antibiotics vs F667

## 2025-04-14 18:01:09.916837 INFO::Creating boxplot for categorical data, antibiotics vs F694

## 2025-04-14 18:01:10.102308 INFO::Creating boxplot for categorical data, antibiotics vs F297

## 2025-04-14 18:01:10.287437 INFO::Creating boxplot for categorical data, antibiotics vs F569

## 2025-04-14 18:01:10.474057 INFO::Creating boxplot for categorical data, antibiotics vs F138

## 2025-04-14 18:01:10.668079 INFO::Creating boxplot for categorical data, antibiotics vs F611

## 2025-04-14 18:01:10.851367 INFO::Creating boxplot for categorical data, antibiotics vs F810

## 2025-04-14 18:01:11.039495 INFO::Creating boxplot for categorical data, antibiotics vs F746

## 2025-04-14 18:01:11.244651 INFO::Creating boxplot for categorical data, antibiotics vs F23

## 2025-04-14 18:01:11.4422 INFO::Creating boxplot for categorical data, antibiotics vs F135

## 2025-04-14 18:01:11.630752 INFO::Creating boxplot for categorical data, antibiotics vs F411

## 2025-04-14 18:01:11.813336 INFO::Creating boxplot for categorical data, antibiotics vs F489

## 2025-04-14 18:01:11.994968 INFO::Creating boxplot for categorical data, antibiotics vs F492

## 2025-04-14 18:01:12.180348 INFO::Creating boxplot for categorical data, antibiotics vs F844

## 2025-04-14 18:01:12.374296 INFO::Creating boxplot for categorical data, antibiotics vs F586

## 2025-04-14 18:01:12.554222 INFO::Creating boxplot for categorical data, antibiotics vs F11

## 2025-04-14 18:01:12.733194 INFO::Creating boxplot for categorical data, antibiotics vs F900

## 2025-04-14 18:01:12.921603 INFO::Creating boxplot for categorical data, antibiotics vs F21

## 2025-04-14 18:01:13.10868 INFO::Creating boxplot for categorical data, antibiotics vs F736

## 2025-04-14 18:01:13.298062 INFO::Creating boxplot for categorical data, antibiotics vs F408

## 2025-04-14 18:01:13.478821 INFO::Creating boxplot for categorical data, antibiotics vs F788

## 2025-04-14 18:01:13.662473 INFO::Creating boxplot for categorical data, antibiotics vs F66

## 2025-04-14 18:01:13.847046 INFO::Creating boxplot for categorical data, antibiotics vs F493

## 2025-04-14 18:01:14.043269 INFO::Creating boxplot for categorical data, antibiotics vs F343

## 2025-04-14 18:01:14.222888 INFO::Creating boxplot for categorical data, antibiotics vs F352

## 2025-04-14 18:01:14.405272 INFO::Creating boxplot for categorical data, antibiotics vs F677

## 2025-04-14 18:01:14.589722 INFO::Creating boxplot for categorical data, antibiotics vs F816

## 2025-04-14 18:01:14.78406 INFO::Creating boxplot for categorical data, antibiotics vs F457

## 2025-04-14 18:01:14.988413 INFO::Creating boxplot for categorical data, antibiotics vs F330

## 2025-04-14 18:01:15.168828 INFO::Creating boxplot for categorical data, antibiotics vs F293

## 2025-04-14 18:01:15.352665 INFO::Creating boxplot for categorical data, antibiotics vs F725

## 2025-04-14 18:01:15.550647 INFO::Creating boxplot for categorical data, antibiotics vs F813

## 2025-04-14 18:01:15.752431 INFO::Creating boxplot for categorical data, antibiotics vs F295

## 2025-04-14 18:01:15.934795 INFO::Creating boxplot for categorical data, antibiotics vs F656

## 2025-04-14 18:01:16.117273 INFO::Creating boxplot for categorical data, antibiotics vs F669

## 2025-04-14 18:01:16.303304 INFO::Creating boxplot for categorical data, antibiotics vs F15

## 2025-04-14 18:01:16.489717 INFO::Creating boxplot for categorical data, antibiotics vs F419

## 2025-04-14 18:01:16.691497 INFO::Creating boxplot for categorical data, antibiotics vs F701

## 2025-04-14 18:01:16.874888 INFO::Creating boxplot for categorical data, antibiotics vs F176

## 2025-04-14 18:01:17.056945 INFO::Creating boxplot for categorical data, antibiotics vs F203

## 2025-04-14 18:01:17.240762 INFO::Creating boxplot for categorical data, antibiotics vs F501

## 2025-04-14 18:01:17.434727 INFO::Creating boxplot for categorical data, antibiotics vs F772

## 2025-04-14 18:01:17.616316 INFO::Creating boxplot for categorical data, antibiotics vs F488

## 2025-04-14 18:01:17.807885 INFO::Creating boxplot for categorical data, antibiotics vs F600

## 2025-04-14 18:01:17.994407 INFO::Creating boxplot for categorical data, antibiotics vs F768

## 2025-04-14 18:01:18.177665 INFO::Creating boxplot for categorical data, antibiotics vs F432

## 2025-04-14 18:01:18.369755 INFO::Creating boxplot for categorical data, antibiotics vs F26

## 2025-04-14 18:01:18.549136 INFO::Creating boxplot for categorical data, antibiotics vs F189

## 2025-04-14 18:01:18.731579 INFO::Creating boxplot for categorical data, antibiotics vs F200

## 2025-04-14 18:01:18.922283 INFO::Creating boxplot for categorical data, antibiotics vs F121

## 2025-04-14 18:01:19.111845 INFO::Creating boxplot for categorical data, antibiotics vs F624

## 2025-04-14 18:01:19.290066 INFO::Creating boxplot for categorical data, antibiotics vs F855

## 2025-04-14 18:01:19.47033 INFO::Creating boxplot for categorical data, antibiotics vs F380

## 2025-04-14 18:01:19.655056 INFO::Creating boxplot for categorical data, antibiotics vs F734

## 2025-04-14 18:01:19.85429 INFO::Creating boxplot for categorical data, antibiotics vs F16

## 2025-04-14 18:01:20.036335 INFO::Creating boxplot for categorical data, antibiotics vs F602

## 2025-04-14 18:01:20.214874 INFO::Creating boxplot for categorical data, antibiotics vs F210

## 2025-04-14 18:01:20.395013 INFO::Creating boxplot for categorical data, antibiotics vs F217

## 2025-04-14 18:01:20.578021 INFO::Creating boxplot for categorical data, antibiotics vs F640

## 2025-04-14 18:01:20.764888 INFO::Creating boxplot for categorical data, antibiotics vs F631

## 2025-04-14 18:01:20.945696 INFO::Creating boxplot for categorical data, antibiotics vs F32

## 2025-04-14 18:01:21.125298 INFO::Creating boxplot for categorical data, antibiotics vs F322

## 2025-04-14 18:01:21.307271 INFO::Creating boxplot for categorical data, antibiotics vs F476

## 2025-04-14 18:01:21.500489 INFO::Creating boxplot for categorical data, antibiotics vs F265

## 2025-04-14 18:01:21.680231 INFO::Creating boxplot for categorical data, antibiotics vs F283

## 2025-04-14 18:01:21.858539 INFO::Creating boxplot for categorical data, antibiotics vs F316

## 2025-04-14 18:01:22.043187 INFO::Creating boxplot for categorical data, antibiotics vs F465

## 2025-04-14 18:01:22.227395 INFO::Creating boxplot for categorical data, antibiotics vs F24

## 2025-04-14 18:01:22.417455 INFO::Creating boxplot for categorical data, antibiotics vs F38

## 2025-04-14 18:01:22.594937 INFO::Creating boxplot for categorical data, antibiotics vs F82

## 2025-04-14 18:01:22.774387 INFO::Creating boxplot for categorical data, antibiotics vs F86

## 2025-04-14 18:01:22.959996 INFO::Creating boxplot for categorical data, antibiotics vs F270

## 2025-04-14 18:01:23.153694 INFO::Creating boxplot for categorical data, antibiotics vs F485

## 2025-04-14 18:01:23.33314 INFO::Creating boxplot for categorical data, antibiotics vs F486

## 2025-04-14 18:01:23.517209 INFO::Creating boxplot for categorical data, antibiotics vs F399

## 2025-04-14 18:01:23.698924 INFO::Creating boxplot for categorical data, antibiotics vs F573

## 2025-04-14 18:01:23.891447 INFO::Creating boxplot for categorical data, antibiotics vs F877

## 2025-04-14 18:01:24.067843 INFO::Creating boxplot for categorical data, antibiotics vs F709

## 2025-04-14 18:01:24.246333 INFO::Creating boxplot for categorical data, antibiotics vs F227

## 2025-04-14 18:01:24.433407 INFO::Creating boxplot for categorical data, antibiotics vs F553

## 2025-04-14 18:01:24.614318 INFO::Creating boxplot for categorical data, antibiotics vs F123

## 2025-04-14 18:01:24.836803 INFO::Creating boxplot for categorical data, antibiotics vs F118

## 2025-04-14 18:01:25.018972 INFO::Creating boxplot for categorical data, antibiotics vs F605

## 2025-04-14 18:01:25.198976 INFO::Creating boxplot for categorical data, antibiotics vs F619

## 2025-04-14 18:01:25.38697 INFO::Creating boxplot for categorical data, antibiotics vs F830

## 2025-04-14 18:01:25.590039 INFO::Creating boxplot for categorical data, antibiotics vs F837

## 2025-04-14 18:01:25.772675 INFO::Creating boxplot for categorical data, antibiotics vs F12

## 2025-04-14 18:01:25.951858 INFO::Creating boxplot for categorical data, antibiotics vs F623

## 2025-04-14 18:01:26.131517 INFO::Creating boxplot for categorical data, antibiotics vs F806

## 2025-04-14 18:01:26.313073 INFO::Creating boxplot for categorical data, antibiotics vs F353

## 2025-04-14 18:01:26.514997 INFO::Creating boxplot for categorical data, antibiotics vs F829

## 2025-04-14 18:01:26.693924 INFO::Creating boxplot for categorical data, antibiotics vs F289

## 2025-04-14 18:01:26.871521 INFO::Creating boxplot for categorical data, antibiotics vs F93

## 2025-04-14 18:01:27.052568 INFO::Creating boxplot for categorical data, antibiotics vs F379

## 2025-04-14 18:01:27.237997 INFO::Creating boxplot for categorical data, antibiotics vs F370

## 2025-04-14 18:01:27.448479 INFO::Creating boxplot for categorical data, antibiotics vs F360

## 2025-04-14 18:01:27.63712 INFO::Creating boxplot for categorical data, antibiotics vs F710

## 2025-04-14 18:01:27.821474 INFO::Creating boxplot for categorical data, antibiotics vs F388

## 2025-04-14 18:01:28.005347 INFO::Creating boxplot for categorical data, antibiotics vs F796

## 2025-04-14 18:01:28.214972 INFO::Creating boxplot for categorical data, antibiotics vs F174

## 2025-04-14 18:01:28.399776 INFO::Creating boxplot for categorical data, antibiotics vs F601

## 2025-04-14 18:01:28.576181 INFO::Creating boxplot for categorical data, antibiotics vs F775

## 2025-04-14 18:01:28.759331 INFO::Creating boxplot for categorical data, antibiotics vs F836

## 2025-04-14 18:01:28.944504 INFO::Creating boxplot for categorical data, antibiotics vs F192

## 2025-04-14 18:01:29.151927 INFO::Creating boxplot for categorical data, antibiotics vs F463

## 2025-04-14 18:01:29.334632 INFO::Creating boxplot for categorical data, antibiotics vs F57

## 2025-04-14 18:01:29.518459 INFO::Creating boxplot for categorical data, antibiotics vs F658

## 2025-04-14 18:01:29.704005 INFO::Creating boxplot for categorical data, antibiotics vs F596

## 2025-04-14 18:01:29.902082 INFO::Creating boxplot for categorical data, antibiotics vs F218

## 2025-04-14 18:01:30.085597 INFO::Creating boxplot for categorical data, antibiotics vs F104

## 2025-04-14 18:01:30.267461 INFO::Creating boxplot for categorical data, antibiotics vs F466

## 2025-04-14 18:01:30.458819 INFO::Creating boxplot for categorical data, antibiotics vs F737

## 2025-04-14 18:01:30.641278 INFO::Creating boxplot for categorical data, antibiotics vs F487

## 2025-04-14 18:01:30.846806 INFO::Creating boxplot for categorical data, antibiotics vs F369

## 2025-04-14 18:01:31.029342 INFO::Creating boxplot for categorical data, antibiotics vs F584

## 2025-04-14 18:01:31.21051 INFO::Creating boxplot for categorical data, antibiotics vs F166

## 2025-04-14 18:01:31.398769 INFO::Creating boxplot for categorical data, antibiotics vs F822

## 2025-04-14 18:01:31.602805 INFO::Creating boxplot for categorical data, antibiotics vs F416

## 2025-04-14 18:01:31.784563 INFO::Creating boxplot for categorical data, antibiotics vs F70

## 2025-04-14 18:01:31.963174 INFO::Creating boxplot for categorical data, antibiotics vs F243

## 2025-04-14 18:01:32.149977 INFO::Creating boxplot for categorical data, antibiotics vs F498

## 2025-04-14 18:01:32.339355 INFO::Creating boxplot for categorical data, antibiotics vs F272

## 2025-04-14 18:01:32.540134 INFO::Creating boxplot for categorical data, antibiotics vs F846

## 2025-04-14 18:01:32.718642 INFO::Creating boxplot for categorical data, antibiotics vs F881

## 2025-04-14 18:01:32.895646 INFO::Creating boxplot for categorical data, antibiotics vs F280

## 2025-04-14 18:01:33.080719 INFO::Creating boxplot for categorical data, antibiotics vs F761

## 2025-04-14 18:01:33.279752 INFO::Creating boxplot for categorical data, antibiotics vs F781

## 2025-04-14 18:01:33.466907 INFO::Creating boxplot for categorical data, antibiotics vs F697

## 2025-04-14 18:01:33.645016 INFO::Creating boxplot for categorical data, antibiotics vs F890

## 2025-04-14 18:01:33.825775 INFO::Creating boxplot for categorical data, antibiotics vs F197

## 2025-04-14 18:01:34.007931 INFO::Creating boxplot for categorical data, antibiotics vs F826

## 2025-04-14 18:01:34.209725 INFO::Creating boxplot for categorical data, antibiotics vs F641

## 2025-04-14 18:01:34.391304 INFO::Creating boxplot for categorical data, antibiotics vs F700

## 2025-04-14 18:01:34.571275 INFO::Creating boxplot for categorical data, antibiotics vs F531

## 2025-04-14 18:01:34.76417 INFO::Creating boxplot for categorical data, antibiotics vs F660

## 2025-04-14 18:01:34.971335 INFO::Creating boxplot for categorical data, antibiotics vs F257

## 2025-04-14 18:01:35.153744 INFO::Creating boxplot for categorical data, antibiotics vs F136

## 2025-04-14 18:01:35.33691 INFO::Creating boxplot for categorical data, antibiotics vs F875

## 2025-04-14 18:01:35.523536 INFO::Creating boxplot for categorical data, antibiotics vs F160

## 2025-04-14 18:01:35.708652 INFO::Creating boxplot for categorical data, antibiotics vs F782

## 2025-04-14 18:01:35.922869 INFO::Creating boxplot for categorical data, antibiotics vs F642

## 2025-04-14 18:01:36.10612 INFO::Creating boxplot for categorical data, antibiotics vs F730

## 2025-04-14 18:01:36.303558 INFO::Creating boxplot for categorical data, antibiotics vs F679

## 2025-04-14 18:01:36.491159 INFO::Creating boxplot for categorical data, antibiotics vs F713

## 2025-04-14 18:01:36.698057 INFO::Creating boxplot for categorical data, antibiotics vs F821

## 2025-04-14 18:01:36.881816 INFO::Creating boxplot for categorical data, antibiotics vs F443

## 2025-04-14 18:01:37.064888 INFO::Creating boxplot for categorical data, antibiotics vs F729

## 2025-04-14 18:01:37.251515 INFO::Creating boxplot for categorical data, antibiotics vs F25

## 2025-04-14 18:01:37.438265 INFO::Creating boxplot for categorical data, antibiotics vs F338

## 2025-04-14 18:01:37.640786 INFO::Creating boxplot for categorical data, antibiotics vs F647

## 2025-04-14 18:01:37.819237 INFO::Creating boxplot for categorical data, antibiotics vs F817

## 2025-04-14 18:01:37.998773 INFO::Creating boxplot for categorical data, antibiotics vs F535

## 2025-04-14 18:01:38.18559 INFO::Creating boxplot for categorical data, antibiotics vs F634

## 2025-04-14 18:01:38.387764 INFO::Creating boxplot for categorical data, antibiotics vs F533

## 2025-04-14 18:01:38.564678 INFO::Creating boxplot for categorical data, antibiotics vs F808

## 2025-04-14 18:01:38.745428 INFO::Creating boxplot for categorical data, antibiotics vs F571

## 2025-04-14 18:01:38.931714 INFO::Creating boxplot for categorical data, antibiotics vs F529

## 2025-04-14 18:01:39.13365 INFO::Creating boxplot for categorical data, antibiotics vs F827

## 2025-04-14 18:01:39.314388 INFO::Creating boxplot for categorical data, antibiotics vs F107

## 2025-04-14 18:01:39.490655 INFO::Creating boxplot for categorical data, antibiotics vs F515

## 2025-04-14 18:01:39.67191 INFO::Creating boxplot for categorical data, antibiotics vs F305

## 2025-04-14 18:01:39.857554 INFO::Creating boxplot for categorical data, antibiotics vs F662

## 2025-04-14 18:01:40.057047 INFO::Creating boxplot for categorical data, antibiotics vs F310

## 2025-04-14 18:01:40.236213 INFO::Creating boxplot for categorical data, antibiotics vs F430

## 2025-04-14 18:01:40.413743 INFO::Creating boxplot for categorical data, antibiotics vs F173

## 2025-04-14 18:01:40.597691 INFO::Creating boxplot for categorical data, antibiotics vs F820

## 2025-04-14 18:01:40.798996 INFO::Creating boxplot for categorical data, antibiotics vs F743

## 2025-04-14 18:01:40.979784 INFO::Creating boxplot for categorical data, antibiotics vs F63

## 2025-04-14 18:01:41.161988 INFO::Creating boxplot for categorical data, antibiotics vs F215

## 2025-04-14 18:01:41.347136 INFO::Creating boxplot for categorical data, antibiotics vs F216

## 2025-04-14 18:01:41.548929 INFO::Creating boxplot for categorical data, antibiotics vs F245

## 2025-04-14 18:01:41.741875 INFO::Creating boxplot for categorical data, antibiotics vs F862

## 2025-04-14 18:01:41.916785 INFO::Creating boxplot for categorical data, antibiotics vs F541

## 2025-04-14 18:01:42.096637 INFO::Creating boxplot for categorical data, antibiotics vs F558

## 2025-04-14 18:01:42.28032 INFO::Creating boxplot for categorical data, antibiotics vs F633

## 2025-04-14 18:01:42.537282 INFO::Creating boxplot for categorical data, antibiotics vs F94

## 2025-04-14 18:01:42.724343 INFO::Creating boxplot for categorical data, antibiotics vs F574

## 2025-04-14 18:01:42.906363 INFO::Creating boxplot for categorical data, antibiotics vs F238

## 2025-04-14 18:01:43.0925 INFO::Creating boxplot for categorical data, antibiotics vs F815

## 2025-04-14 18:01:43.294353 INFO::Creating boxplot for categorical data, antibiotics vs F587

## 2025-04-14 18:01:43.478567 INFO::Creating boxplot for categorical data, antibiotics vs F464

## 2025-04-14 18:01:43.66498 INFO::Creating boxplot for categorical data, antibiotics vs F590

## 2025-04-14 18:01:43.847742 INFO::Creating boxplot for categorical data, antibiotics vs F124

## 2025-04-14 18:01:44.033249 INFO::Creating boxplot for categorical data, antibiotics vs F664

## 2025-04-14 18:01:44.230531 INFO::Creating boxplot for categorical data, antibiotics vs F100

## 2025-04-14 18:01:44.458651 INFO::Creating boxplot for categorical data, antibiotics vs F744

## 2025-04-14 18:01:44.647822 INFO::Creating boxplot for categorical data, antibiotics vs F444

## 2025-04-14 18:01:44.845653 INFO::Creating boxplot for categorical data, antibiotics vs F597

## 2025-04-14 18:01:45.044736 INFO::Creating boxplot for categorical data, antibiotics vs F650

## 2025-04-14 18:01:45.252646 INFO::Creating boxplot for categorical data, antibiotics vs F147

## 2025-04-14 18:01:45.435978 INFO::Creating boxplot for categorical data, antibiotics vs F363

## 2025-04-14 18:01:45.619338 INFO::Creating boxplot for categorical data, antibiotics vs F521

## 2025-04-14 18:01:45.80452 INFO::Creating boxplot for categorical data, antibiotics vs F412

## 2025-04-14 18:01:46.005758 INFO::Creating boxplot for categorical data, antibiotics vs F279

## 2025-04-14 18:01:46.196841 INFO::Creating boxplot for categorical data, antibiotics vs F225

## 2025-04-14 18:01:46.377811 INFO::Creating boxplot for categorical data, antibiotics vs F10

## 2025-04-14 18:01:46.561681 INFO::Creating boxplot for categorical data, antibiotics vs F481

## 2025-04-14 18:01:46.743008 INFO::Creating boxplot for categorical data, antibiotics vs F861

## 2025-04-14 18:01:46.939769 INFO::Creating boxplot for categorical data, antibiotics vs F888

## 2025-04-14 18:01:47.122477 INFO::Creating boxplot for categorical data, antibiotics vs F156

## 2025-04-14 18:01:47.305058 INFO::Creating boxplot for categorical data, antibiotics vs F857

## 2025-04-14 18:01:47.489887 INFO::Creating boxplot for categorical data, antibiotics vs F509

## 2025-04-14 18:01:47.691159 INFO::Creating boxplot for categorical data, antibiotics vs F244

## 2025-04-14 18:01:47.879966 INFO::Creating boxplot for categorical data, antibiotics vs F514

## 2025-04-14 18:01:48.065728 INFO::Creating boxplot for categorical data, antibiotics vs F196

## 2025-04-14 18:01:48.251224 INFO::Creating boxplot for categorical data, antibiotics vs F304

## 2025-04-14 18:01:48.43802 INFO::Creating boxplot for categorical data, antibiotics vs F833

## 2025-04-14 18:01:48.643323 INFO::Creating boxplot for categorical data, antibiotics vs F294

## 2025-04-14 18:01:48.828175 INFO::Creating boxplot for categorical data, antibiotics vs F550

## 2025-04-14 18:01:49.014539 INFO::Creating boxplot for categorical data, antibiotics vs F869

## 2025-04-14 18:01:49.195891 INFO::Creating boxplot for categorical data, antibiotics vs F364

## 2025-04-14 18:01:49.396768 INFO::Creating boxplot for categorical data, antibiotics vs F583

## 2025-04-14 18:01:49.584761 INFO::Creating boxplot for categorical data, antibiotics vs F441

## 2025-04-14 18:01:49.769324 INFO::Creating boxplot for categorical data, antibiotics vs F595

## 2025-04-14 18:01:49.960878 INFO::Creating boxplot for categorical data, antibiotics vs F35

## 2025-04-14 18:01:50.148284 INFO::Creating boxplot for categorical data, antibiotics vs F630

## 2025-04-14 18:01:50.346549 INFO::Creating boxplot for categorical data, antibiotics vs F401

## 2025-04-14 18:01:50.528858 INFO::Creating boxplot for categorical data, antibiotics vs F287

## 2025-04-14 18:01:50.711375 INFO::Creating boxplot for categorical data, antibiotics vs F250

## 2025-04-14 18:01:50.893258 INFO::Creating boxplot for categorical data, antibiotics vs F239

## 2025-04-14 18:01:51.087033 INFO::Creating boxplot for categorical data, antibiotics vs F88

## 2025-04-14 18:01:51.271704 INFO::Creating boxplot for categorical data, antibiotics vs F752

## 2025-04-14 18:01:51.452927 INFO::Creating boxplot for categorical data, antibiotics vs F539

## 2025-04-14 18:01:51.637042 INFO::Creating boxplot for categorical data, antibiotics vs F69

## 2025-04-14 18:01:51.818811 INFO::Creating boxplot for categorical data, antibiotics vs F126

## 2025-04-14 18:01:52.016504 INFO::Creating boxplot for categorical data, antibiotics vs F362

## 2025-04-14 18:01:52.198503 INFO::Creating boxplot for categorical data, antibiotics vs F753

## 2025-04-14 18:01:52.381037 INFO::Creating boxplot for categorical data, antibiotics vs F469

## 2025-04-14 18:01:52.566978 INFO::Creating boxplot for categorical data, antibiotics vs F14

## 2025-04-14 18:01:52.795114 INFO::Creating boxplot for categorical data, antibiotics vs F803

## 2025-04-14 18:01:52.98439 INFO::Creating boxplot for categorical data, antibiotics vs F814

## 2025-04-14 18:01:53.164787 INFO::Creating boxplot for categorical data, antibiotics vs F449

## 2025-04-14 18:01:53.359021 INFO::Creating boxplot for categorical data, antibiotics vs F494

## 2025-04-14 18:01:53.551096 INFO::Creating boxplot for categorical data, antibiotics vs F439

## 2025-04-14 18:01:53.75065 INFO::Creating boxplot for categorical data, antibiotics vs F686

## 2025-04-14 18:01:53.933213 INFO::Creating boxplot for categorical data, antibiotics vs F591

## 2025-04-14 18:01:54.118287 INFO::Creating boxplot for categorical data, antibiotics vs F735

## 2025-04-14 18:01:54.302632 INFO::Creating boxplot for categorical data, antibiotics vs F111

## 2025-04-14 18:01:54.503798 INFO::Creating boxplot for categorical data, antibiotics vs F346

## 2025-04-14 18:01:54.689338 INFO::Creating boxplot for categorical data, antibiotics vs F29

## 2025-04-14 18:01:54.873474 INFO::Creating boxplot for categorical data, antibiotics vs F376

## 2025-04-14 18:01:55.058691 INFO::Creating boxplot for categorical data, antibiotics vs F414

## 2025-04-14 18:01:55.256335 INFO::Creating boxplot for categorical data, antibiotics vs F555

## 2025-04-14 18:01:55.441723 INFO::Creating boxplot for categorical data, antibiotics vs F517

## 2025-04-14 18:01:55.622842 INFO::Creating boxplot for categorical data, antibiotics vs F544

## 2025-04-14 18:01:55.807012 INFO::Creating boxplot for categorical data, antibiotics vs F339

## 2025-04-14 18:01:55.993406 INFO::Creating boxplot for categorical data, antibiotics vs F689

## 2025-04-14 18:01:56.195064 INFO::Creating boxplot for categorical data, antibiotics vs F391

## 2025-04-14 18:01:56.376095 INFO::Creating boxplot for categorical data, antibiotics vs F502

## 2025-04-14 18:01:56.558881 INFO::Creating boxplot for categorical data, antibiotics vs F298

## 2025-04-14 18:01:56.745279 INFO::Creating boxplot for categorical data, antibiotics vs F337

## 2025-04-14 18:01:56.944744 INFO::Creating boxplot for categorical data, antibiotics vs F773

## 2025-04-14 18:01:57.128519 INFO::Creating boxplot for categorical data, antibiotics vs F592

## 2025-04-14 18:01:57.307766 INFO::Creating boxplot for categorical data, antibiotics vs F307

## 2025-04-14 18:01:57.490945 INFO::Creating boxplot for categorical data, antibiotics vs F115

## 2025-04-14 18:01:57.676483 INFO::Creating boxplot for categorical data, antibiotics vs F739

## 2025-04-14 18:01:57.879748 INFO::Creating boxplot for categorical data, antibiotics vs F433

## 2025-04-14 18:01:58.062773 INFO::Creating boxplot for categorical data, antibiotics vs F384

## 2025-04-14 18:01:58.248086 INFO::Creating boxplot for categorical data, antibiotics vs F750

## 2025-04-14 18:01:58.433319 INFO::Creating boxplot for categorical data, antibiotics vs F762

## 2025-04-14 18:01:58.62893 INFO::Creating boxplot for categorical data, antibiotics vs F277

## 2025-04-14 18:01:58.811402 INFO::Creating boxplot for categorical data, antibiotics vs F871

## 2025-04-14 18:01:58.991069 INFO::Creating boxplot for categorical data, antibiotics vs F839

## 2025-04-14 18:01:59.176452 INFO::Creating boxplot for categorical data, antibiotics vs F127

## 2025-04-14 18:01:59.370861 INFO::Creating boxplot for categorical data, antibiotics vs F554

## 2025-04-14 18:01:59.552023 INFO::Creating boxplot for categorical data, antibiotics vs F676

## 2025-04-14 18:01:59.728851 INFO::Creating boxplot for categorical data, antibiotics vs F568

## 2025-04-14 18:01:59.913749 INFO::Creating boxplot for categorical data, antibiotics vs F137

## 2025-04-14 18:02:00.097541 INFO::Creating boxplot for categorical data, antibiotics vs F131

## 2025-04-14 18:02:00.335793 INFO::Creating boxplot for categorical data, antibiotics vs F60

## 2025-04-14 18:02:00.521727 INFO::Creating boxplot for categorical data, antibiotics vs F98

## 2025-04-14 18:02:00.709879 INFO::Creating boxplot for categorical data, antibiotics vs F672

## 2025-04-14 18:02:00.896643 INFO::Creating boxplot for categorical data, antibiotics vs F530

## 2025-04-14 18:02:01.102137 INFO::Creating boxplot for categorical data, antibiotics vs F809

## 2025-04-14 18:02:01.286947 INFO::Creating boxplot for categorical data, antibiotics vs F894

## 2025-04-14 18:02:01.473203 INFO::Creating boxplot for categorical data, antibiotics vs F22

## 2025-04-14 18:02:01.657163 INFO::Creating boxplot for categorical data, antibiotics vs F818

## 2025-04-14 18:02:01.843546 INFO::Creating boxplot for categorical data, antibiotics vs F559

## 2025-04-14 18:02:02.055159 INFO::Creating boxplot for categorical data, antibiotics vs F741

## 2025-04-14 18:02:02.240343 INFO::Creating boxplot for categorical data, antibiotics vs F398

## 2025-04-14 18:02:02.422411 INFO::Creating boxplot for categorical data, antibiotics vs F357

## 2025-04-14 18:02:02.608959 INFO::Creating boxplot for categorical data, antibiotics vs F119

## 2025-04-14 18:02:02.81333 INFO::Creating boxplot for categorical data, antibiotics vs F426

## 2025-04-14 18:02:03.00283 INFO::Creating boxplot for categorical data, antibiotics vs F204

## 2025-04-14 18:02:03.184757 INFO::Creating boxplot for categorical data, antibiotics vs F851

## 2025-04-14 18:02:03.367123 INFO::Creating boxplot for categorical data, antibiotics vs F657

## 2025-04-14 18:02:03.549488 INFO::Creating boxplot for categorical data, antibiotics vs F801

## 2025-04-14 18:02:03.751698 INFO::Creating boxplot for categorical data, antibiotics vs F754

## 2025-04-14 18:02:03.935975 INFO::Creating boxplot for categorical data, antibiotics vs F859

## 2025-04-14 18:02:04.116167 INFO::Creating boxplot for categorical data, antibiotics vs F480

## 2025-04-14 18:02:04.299301 INFO::Creating boxplot for categorical data, antibiotics vs F507

## 2025-04-14 18:02:04.496819 INFO::Creating boxplot for categorical data, antibiotics vs F207

## 2025-04-14 18:02:06.862536 INFO::Plotting data for metadata number 3, age
## 2025-04-14 18:02:06.864366 INFO::Creating scatter plot for continuous data, age vs F340

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:07.112696 INFO::Creating scatter plot for continuous data, age vs F603

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:07.381253 INFO::Creating scatter plot for continuous data, age vs F356

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:07.603804 INFO::Creating scatter plot for continuous data, age vs F181

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:07.786824 INFO::Creating scatter plot for continuous data, age vs F177

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:07.98438 INFO::Creating scatter plot for continuous data, age vs F390

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:08.189288 INFO::Creating scatter plot for continuous data, age vs F743

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:08.393476 INFO::Creating scatter plot for continuous data, age vs F491

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:08.589972 INFO::Creating scatter plot for continuous data, age vs F436

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:08.769375 INFO::Creating scatter plot for continuous data, age vs F219

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:08.949332 INFO::Creating scatter plot for continuous data, age vs F483

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:09.171069 INFO::Creating scatter plot for continuous data, age vs F878

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:09.368518 INFO::Creating scatter plot for continuous data, age vs F876

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:09.56322 INFO::Creating scatter plot for continuous data, age vs F211

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:09.757457 INFO::Creating scatter plot for continuous data, age vs F732

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:09.969188 INFO::Creating scatter plot for continuous data, age vs F222

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:10.164515 INFO::Creating scatter plot for continuous data, age vs F688

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:10.359393 INFO::Creating scatter plot for continuous data, age vs F170

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:10.555262 INFO::Creating scatter plot for continuous data, age vs F431

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:10.769989 INFO::Creating scatter plot for continuous data, age vs F174

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:10.94958 INFO::Creating scatter plot for continuous data, age vs F17

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:11.128947 INFO::Creating scatter plot for continuous data, age vs F334

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:11.322883 INFO::Creating scatter plot for continuous data, age vs F835

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:11.523818 INFO::Creating scatter plot for continuous data, age vs F223

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:11.719552 INFO::Creating scatter plot for continuous data, age vs F383

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:11.900585 INFO::Creating scatter plot for continuous data, age vs F623

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:12.092527 INFO::Creating scatter plot for continuous data, age vs F329

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:12.309952 INFO::Creating scatter plot for continuous data, age vs F395

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:12.507052 INFO::Creating scatter plot for continuous data, age vs F528

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:12.685186 INFO::Creating scatter plot for continuous data, age vs F13

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:12.865782 INFO::Creating scatter plot for continuous data, age vs F36

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:13.070182 INFO::Creating scatter plot for continuous data, age vs F285

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:13.265727 INFO::Creating scatter plot for continuous data, age vs F404

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:13.445898 INFO::Creating scatter plot for continuous data, age vs F894

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:13.642258 INFO::Creating scatter plot for continuous data, age vs F300

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:13.863253 INFO::Creating scatter plot for continuous data, age vs F32

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:14.063343 INFO::Creating scatter plot for continuous data, age vs F24

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:14.263489 INFO::Creating scatter plot for continuous data, age vs F97

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:14.449227 INFO::Creating scatter plot for continuous data, age vs F849

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:14.656754 INFO::Creating scatter plot for continuous data, age vs F185

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:14.85532 INFO::Creating scatter plot for continuous data, age vs F513

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:15.05148 INFO::Creating scatter plot for continuous data, age vs F296

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:15.252745 INFO::Creating scatter plot for continuous data, age vs F471

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:15.4872 INFO::Creating scatter plot for continuous data, age vs F793

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:15.686055 INFO::Creating scatter plot for continuous data, age vs F402

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:15.891261 INFO::Creating scatter plot for continuous data, age vs F541

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:16.089154 INFO::Creating scatter plot for continuous data, age vs F496

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:16.299703 INFO::Creating scatter plot for continuous data, age vs F386

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:16.487653 INFO::Creating scatter plot for continuous data, age vs F594

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:16.686098 INFO::Creating scatter plot for continuous data, age vs F704

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:16.870054 INFO::Creating scatter plot for continuous data, age vs F330

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:17.090878 INFO::Creating scatter plot for continuous data, age vs F197

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:17.295207 INFO::Creating scatter plot for continuous data, age vs F735

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:17.504379 INFO::Creating scatter plot for continuous data, age vs F481

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:17.693009 INFO::Creating scatter plot for continuous data, age vs F635

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:17.980558 INFO::Creating scatter plot for continuous data, age vs F687

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:18.175699 INFO::Creating scatter plot for continuous data, age vs F652

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:18.380544 INFO::Creating scatter plot for continuous data, age vs F651

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:18.577227 INFO::Creating scatter plot for continuous data, age vs F82

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:18.777977 INFO::Creating scatter plot for continuous data, age vs F7

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:18.957366 INFO::Creating scatter plot for continuous data, age vs F866

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:19.157643 INFO::Creating scatter plot for continuous data, age vs F593

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:19.339696 INFO::Creating scatter plot for continuous data, age vs F733

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:19.542618 INFO::Creating scatter plot for continuous data, age vs F684

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:19.742633 INFO::Creating scatter plot for continuous data, age vs F410

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:19.929125 INFO::Creating scatter plot for continuous data, age vs F224

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:20.124468 INFO::Creating scatter plot for continuous data, age vs F722

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:20.33711 INFO::Creating scatter plot for continuous data, age vs F856

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:20.520723 INFO::Creating scatter plot for continuous data, age vs F680

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:20.707621 INFO::Creating scatter plot for continuous data, age vs F19

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:20.902745 INFO::Creating scatter plot for continuous data, age vs F860

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:21.104441 INFO::Creating scatter plot for continuous data, age vs F859

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:21.301741 INFO::Creating scatter plot for continuous data, age vs F522

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:21.508014 INFO::Creating scatter plot for continuous data, age vs F372

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:21.716852 INFO::Creating scatter plot for continuous data, age vs F899

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:21.931389 INFO::Creating scatter plot for continuous data, age vs F782

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:22.135489 INFO::Creating scatter plot for continuous data, age vs F839

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:22.341616 INFO::Creating scatter plot for continuous data, age vs F827

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:22.539825 INFO::Creating scatter plot for continuous data, age vs F817

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:22.759769 INFO::Creating scatter plot for continuous data, age vs F345

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:22.943767 INFO::Creating scatter plot for continuous data, age vs F127

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:23.143771 INFO::Creating scatter plot for continuous data, age vs F749

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:23.343309 INFO::Creating scatter plot for continuous data, age vs F877

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:23.559342 INFO::Creating scatter plot for continuous data, age vs F150

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:23.758388 INFO::Creating scatter plot for continuous data, age vs F752

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:23.950538 INFO::Creating scatter plot for continuous data, age vs F848

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:24.1336 INFO::Creating scatter plot for continuous data, age vs F809

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:24.348344 INFO::Creating scatter plot for continuous data, age vs F751

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:24.531849 INFO::Creating scatter plot for continuous data, age vs F15

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:24.716213 INFO::Creating scatter plot for continuous data, age vs F521

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:24.898428 INFO::Creating scatter plot for continuous data, age vs F842

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:25.113471 INFO::Creating scatter plot for continuous data, age vs F319

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:25.313071 INFO::Creating scatter plot for continuous data, age vs F96

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:25.512616 INFO::Creating scatter plot for continuous data, age vs F171

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:25.717669 INFO::Creating scatter plot for continuous data, age vs F241

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:25.926446 INFO::Creating scatter plot for continuous data, age vs F582

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:26.113262 INFO::Creating scatter plot for continuous data, age vs F822

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:26.297317 INFO::Creating scatter plot for continuous data, age vs F748

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:26.482479 INFO::Creating scatter plot for continuous data, age vs F147

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:26.700908 INFO::Creating scatter plot for continuous data, age vs F16

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:26.884799 INFO::Creating scatter plot for continuous data, age vs F212

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:27.08609 INFO::Creating scatter plot for continuous data, age vs F718

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:27.284217 INFO::Creating scatter plot for continuous data, age vs F663

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:27.48722 INFO::Creating scatter plot for continuous data, age vs F690

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:27.683658 INFO::Creating scatter plot for continuous data, age vs F865

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:27.868891 INFO::Creating scatter plot for continuous data, age vs F421

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:28.057356 INFO::Creating scatter plot for continuous data, age vs F110

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:28.275436 INFO::Creating scatter plot for continuous data, age vs F857

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:28.476426 INFO::Creating scatter plot for continuous data, age vs F84

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:28.687772 INFO::Creating scatter plot for continuous data, age vs F123

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:28.871272 INFO::Creating scatter plot for continuous data, age vs F566

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:29.074743 INFO::Creating scatter plot for continuous data, age vs F370

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:29.256059 INFO::Creating scatter plot for continuous data, age vs F65

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:29.440042 INFO::Creating scatter plot for continuous data, age vs F119

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:29.627118 INFO::Creating scatter plot for continuous data, age vs F263

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:29.837778 INFO::Creating scatter plot for continuous data, age vs F630

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:30.038479 INFO::Creating scatter plot for continuous data, age vs F628

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:30.221487 INFO::Creating scatter plot for continuous data, age vs F711

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:30.417727 INFO::Creating scatter plot for continuous data, age vs F152

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:30.633268 INFO::Creating scatter plot for continuous data, age vs F324

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:30.832579 INFO::Creating scatter plot for continuous data, age vs F575

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:31.017553 INFO::Creating scatter plot for continuous data, age vs F699

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:31.217012 INFO::Creating scatter plot for continuous data, age vs F846

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:31.427012 INFO::Creating scatter plot for continuous data, age vs F380

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:31.619783 INFO::Creating scatter plot for continuous data, age vs F172

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:31.815569 INFO::Creating scatter plot for continuous data, age vs F504

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:31.996365 INFO::Creating scatter plot for continuous data, age vs F34

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:32.195957 INFO::Creating scatter plot for continuous data, age vs F199

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:32.393635 INFO::Creating scatter plot for continuous data, age vs F198

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:32.588499 INFO::Creating scatter plot for continuous data, age vs F479

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:32.781452 INFO::Creating scatter plot for continuous data, age vs F673

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:32.981268 INFO::Creating scatter plot for continuous data, age vs F508

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:33.17502 INFO::Creating scatter plot for continuous data, age vs F337

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:33.373741 INFO::Creating scatter plot for continuous data, age vs F737

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:33.568847 INFO::Creating scatter plot for continuous data, age vs F609

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:33.783874 INFO::Creating scatter plot for continuous data, age vs F40

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:33.966282 INFO::Creating scatter plot for continuous data, age vs F821

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:34.168236 INFO::Creating scatter plot for continuous data, age vs F643

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:34.376948 INFO::Creating scatter plot for continuous data, age vs F759

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:34.620128 INFO::Creating scatter plot for continuous data, age vs F417

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:34.82475 INFO::Creating scatter plot for continuous data, age vs F58

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:35.035205 INFO::Creating scatter plot for continuous data, age vs F267

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:35.236224 INFO::Creating scatter plot for continuous data, age vs F101

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:35.447775 INFO::Creating scatter plot for continuous data, age vs F890

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:35.648304 INFO::Creating scatter plot for continuous data, age vs F655

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:35.855988 INFO::Creating scatter plot for continuous data, age vs F95

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:36.049726 INFO::Creating scatter plot for continuous data, age vs F775

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:36.267985 INFO::Creating scatter plot for continuous data, age vs F93

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:36.463295 INFO::Creating scatter plot for continuous data, age vs F353

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:36.649606 INFO::Creating scatter plot for continuous data, age vs F480

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:36.853219 INFO::Creating scatter plot for continuous data, age vs F567

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:37.083379 INFO::Creating scatter plot for continuous data, age vs F871

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:37.285404 INFO::Creating scatter plot for continuous data, age vs F295

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:37.47168 INFO::Creating scatter plot for continuous data, age vs F459

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:37.673983 INFO::Creating scatter plot for continuous data, age vs F812

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:37.905978 INFO::Creating scatter plot for continuous data, age vs F146

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:38.091652 INFO::Creating scatter plot for continuous data, age vs F239

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:38.292926 INFO::Creating scatter plot for continuous data, age vs F754

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:38.49227 INFO::Creating scatter plot for continuous data, age vs F443

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:38.718604 INFO::Creating scatter plot for continuous data, age vs F5

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:38.949082 INFO::Creating scatter plot for continuous data, age vs F864

## `geom_smooth()` using formula = 'y ~ x'

## 2025-04-14 18:02:39.141124 INFO::Creating scatter plot for continuous data, age vs F477

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:39.356681 INFO::Creating scatter plot for continuous data, age vs F571

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## 2025-04-14 18:02:39.587026 INFO::Creating scatter plot for continuous data, age vs F715

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 2 rows containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'

## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_point()`).

## `geom_smooth()` using formula = 'y ~ x'
## `geom_smooth()` using formula = 'y ~ x'
## Initiating effect size calculations
## 
## Calculating mean abundance in: IBD
## 
## Calculating mean abundance in: Control
## 
## Calculating effect size in: IBD
## 
## Initiating prioritization
## 
## Calculating meta-rank and prioritizing metabolic features

## 2025-04-14 18:02:42.107097 INFO::Writing all prioritized metabolites to file: Macarron_output/prioritized_metabolites_all.csv
## 2025-04-14 18:02:42.115437 INFO::Writing characterizable prioritized metabolites to file: Macarron_output/prioritized_metabolites_characterizable.csv
## 2025-04-14 18:02:42.137647 INFO::Writing highly prioritized metabolites in IBD to file: Macarron_output/highly_prioritized_per_module_in_IBD.csv

3.3.2 Using dataframes as inputs

abundances_df = read.csv(file = prism_abundances, row.names = 1) # setting features as rownames
annotations_df = read.csv(file = prism_annotations, row.names = 1) # setting features as rownames
metadata_df = read.csv(file = prism_metadata, row.names = 1) # setting samples as rownames 
taxonomy_df = read.csv(file = mets_taxonomy)

# Running Macarron
prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df)

3.3.3 Running Macarron as individual functions

The Macarron::Macarron() function is a wrapper for the Macarron framework. Users can also apply individual functions on the input dataframes to achieve same results as the wrapper with the added benefit of storing output from each function for other analyses. There are seven steps:

# Step 1: Storing input data in a summarized experiment object
prism_mbx <- prepInput(input_abundances = abundances_df,
                       input_annotations = annotations_df,
                       input_metadata = metadata_df)

# Step 2: Creating a distance matrix from pairwise correlations in abundances of metabolic features
prism_w <- makeDisMat(se = prism_mbx)

# Step 3: Finding covariance modules
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
# The output is a list containing two dataframes- module assignments and measures of success
# if evaluateMOS=TRUE. To write modules to a separate dataframe, do:
prism_module_assignments <- prism_modules[[1]]
prism_modules_mos <- prism_modules[[2]]

# Step 4: Calculating AVA
prism_ava <- calAVA(se = prism_mbx,
                    mod.assn = prism_modules)

# Step 5: Calculating q-value
prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules)

# Step 6: Calculating effect size
prism_es <- calES(se = prism_mbx,
                   mac.qval = prism_qval)

# Step 7: Prioritizing metabolic features
prism_prioritized <- prioritize(se = prism_mbx,
                                mod.assn = prism_modules,
                                mac.ava = prism_ava,
                                mac.qval = prism_qval,
                                mac.es = prism_es)
# The output is a list containing two dataframes- all prioritized metabolic features and
# only characterizable metabolic features.
all_prioritized <- prism_prioritized[[1]]
char_prioritized <- prism_prioritized[[2]]

# Step 8 (optional): View only the highly prioritized metabolic features in each module
prism_highly_prioritized <- showBest(prism_prioritized)

Session info from running the demo in R can be displayed with the following command.

sessionInfo()

## R version 4.5.0 beta (2025-04-02 r88102)
## Platform: x86_64-pc-linux-gnu
## Running under: Ubuntu 24.04.2 LTS
## 
## Matrix products: default
## BLAS:   /home/biocbuild/bbs-3.22-bioc/R/lib/libRblas.so 
## LAPACK: /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3.12.0  LAPACK version 3.12.0
## 
## locale:
##  [1] LC_CTYPE=en_US.UTF-8       LC_NUMERIC=C              
##  [3] LC_TIME=en_GB              LC_COLLATE=C              
##  [5] LC_MONETARY=en_US.UTF-8    LC_MESSAGES=en_US.UTF-8   
##  [7] LC_PAPER=en_US.UTF-8       LC_NAME=C                 
##  [9] LC_ADDRESS=C               LC_TELEPHONE=C            
## [11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C       
## 
## time zone: America/New_York
## tzcode source: system (glibc)
## 
## attached base packages:
## [1] stats4    stats     graphics  grDevices utils     datasets  methods  
## [8] base     
## 
## other attached packages:
##  [1] Macarron_1.11.0             SummarizedExperiment_1.37.0
##  [3] Biobase_2.67.0              GenomicRanges_1.59.1       
##  [5] GenomeInfoDb_1.43.4         IRanges_2.41.3             
##  [7] S4Vectors_0.45.4            BiocGenerics_0.53.6        
##  [9] generics_0.1.3              MatrixGenerics_1.19.1      
## [11] matrixStats_1.5.0           BiocStyle_2.35.0           
## 
## loaded via a namespace (and not attached):
##   [1] mnormt_2.1.1            DBI_1.2.3               pbapply_1.7-2          
##   [4] gridExtra_2.3           rlang_1.1.6             magrittr_2.0.3         
##   [7] compiler_4.5.0          RSQLite_2.3.9           mgcv_1.9-3             
##  [10] png_0.1-8               vctrs_0.6.5             stringr_1.5.1          
##  [13] pkgconfig_2.0.3         crayon_1.5.3            fastmap_1.2.0          
##  [16] backports_1.5.0         XVector_0.47.2          labeling_0.4.3         
##  [19] rmarkdown_2.29          UCSC.utils_1.3.1        preprocessCore_1.69.0  
##  [22] bit_4.6.0               xfun_0.52               cachem_1.1.0           
##  [25] jsonlite_2.0.0          blob_1.2.4              DelayedArray_0.33.6    
##  [28] BiocParallel_1.41.5     psych_2.5.3             Maaslin2_1.21.0        
##  [31] parallel_4.5.0          cluster_2.1.8.1         biglm_0.9-3            
##  [34] R6_2.6.1                RColorBrewer_1.1-3      bslib_0.9.0            
##  [37] stringi_1.8.7           rpart_4.1.24            jquerylib_0.1.4        
##  [40] Rcpp_1.0.14             bookdown_0.42           iterators_1.0.14       
##  [43] knitr_1.50              WGCNA_1.73              base64enc_0.1-3        
##  [46] Matrix_1.7-3            splines_4.5.0           nnet_7.3-20            
##  [49] tidyselect_1.2.1        rstudioapi_0.17.1       abind_1.4-8            
##  [52] yaml_2.3.10             doParallel_1.0.17       codetools_0.2-20       
##  [55] plyr_1.8.9              lattice_0.22-7          tibble_3.2.1           
##  [58] withr_3.0.2             KEGGREST_1.47.1         evaluate_1.0.3         
##  [61] foreign_0.8-90          survival_3.8-3          getopt_1.20.4          
##  [64] Biostrings_2.75.4       pillar_1.10.2           BiocManager_1.30.25    
##  [67] checkmate_2.3.2         foreach_1.5.2           pcaPP_2.0-5            
##  [70] ggplot2_3.5.2           munsell_0.5.1           scales_1.3.0           
##  [73] glue_1.8.0              Hmisc_5.2-3             tools_4.5.0            
##  [76] robustbase_0.99-4-1     data.table_1.17.0       mvtnorm_1.3-3          
##  [79] fastcluster_1.2.6       grid_4.5.0              optparse_1.7.5         
##  [82] impute_1.81.0           AnnotationDbi_1.69.1    colorspace_2.1-1       
##  [85] nlme_3.1-168            GenomeInfoDbData_1.2.14 htmlTable_2.4.3        
##  [88] Formula_1.2-5           cli_3.6.4               S4Arrays_1.7.3         
##  [91] dplyr_1.1.4             DEoptimR_1.1-3-1        gtable_0.3.6           
##  [94] hash_2.2.6.3            logging_0.10-108        dynamicTreeCut_1.63-1  
##  [97] sass_0.4.10             digest_0.6.37           SparseArray_1.7.7      
## [100] farver_2.1.2            htmlwidgets_1.6.4       memoise_2.0.1          
## [103] htmltools_0.5.8.1       lifecycle_1.0.4         httr_1.4.7             
## [106] GO.db_3.21.0            bit64_4.6.0-1

3.4 Advanced Topics

3.4.1 Generating the input chemical taxonomy file

The input taxonomy dataframe can be generated using the input metabolic features annotation dataframe using Macarron::decorateID(). This function annotates an HMDB ID or a PubChem CID with the chemical class and subclass of the metabolite.

taxonomy_df <- decorateID(input_annotations = annotations_df)
write.csv(taxonomy_df, file="demo_taxonomy.csv", row.names = FALSE)

3.4.2 Accessory output files

3.4.2.1 Macarron.log

A record of all chosen parameters and steps that were followed during execution.

3.4.2.2 modules_measures_of_success.csv

This file provides information about the properties of covariance modules used in the analysis. By default, modules are generated using a minimum module size (MMS) (argument: min_module_size) equal to cube root of the total number of prevalent metabolic features. Macarron evaluates 9 measures of success (MOS) that collectively capture the “correctness” and chemical homogeneity of the modules. The MOS are as follows:

Total modules: Number of modules.
Singletons: Number of metabolic features that were not assigned to any module at MMS.
% Annotated modules: Percentage of modules that contained at least one annotated metabolic feature.
% Consistent assignments: Percentage of times the same metabolic feature was assigned to the same module e.g. if three metabolic features represent glucose, they should all be in the same module. This percentage must be high.
Max classes per module: The highest number of chemical classes observed in any module. This is evaluated using the chemical taxonomy of covarying annotated features.
90p classes per module: 90th percentile of classes per module; captures the chemical homogeneity of the modules.
Max subclasses per module: The highest number of chemical subclasses observed in any module.
90p subclasses per module: 90th percentile of subclasses per module; captures the chemical homogeneity of the modules.
% Features in HAM: Macarron first finds homogeneously annoted modules (HAMs): These are modules in which >75% annotated features have the same chemical class indicating that they are chemically homogeneous. It then calculates how many features the HAMs account for.

3.4.2.3 Maaslin2 results

This folder contains the Maaslin2 log file (maaslin2.log), significant associations found by Maaslin2 (significant_results.tsv) and the linear model residuals file (residuals.rds). For more information, see Maaslin2.

3.4.3 Changing defaults

3.4.3.1 Filtering metabolic features based on prevalence

Ideally, at least 50% metabolic features must be retained after prevalence filtering. By default, Macarron uses the union of metabolic features observed (non-zero abundance) in at least 70% samples of any phenotype for further analysis. This prevalence threshold may be high for some metabolomics datasets and can be changed using the min_prevalence argument.

prism_prioritized <- Macarron::Macarron(input_abundances = abundances_df,
                                        input_annotations = annotations_df,
                                        input_metadata = metadata_df,
                                        input_taxonomy = taxonomy_df,
                                        min_prevalence = 0.5)
# or
prism_w <- makeDisMat(se = prism_mbx,
                      min_prevalence = 0.5)

3.4.4 Minimum module size

By default, cube root of the total number of prevalent features is used as the minimum module size (MMS) (argument: min_module_size) for module detection and generation. We expect this to work for most real world datasets. To determine if the modules are optimal for further analysis, Macarron evaluates several measures of success (MOS) as described above. In addition to evaluating MOS for modules generated using the default MMS, Macarron also evaluates MOS for MMS values that are larger (MMS+5, MMS+10) and smaller (MMS-5, MMS-10) than the default MMS. If you find that the MOS improve with larger or smaller MMS, you may change the default accordingly. For more details about module detection, please see WGCNA and dynamicTreeCut.

# See MOS of modules generated using default
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df)
prism_modules_mos <- prism_modules[[2]]
View(prism_modules_mos)

# Change MMS
prism_modules <- findMacMod(se = prism_mbx,
                            w = prism_w,
                            input_taxonomy = taxonomy_df,
                            min_module_size = 10)

3.4.5 Specifying fixed effects, random effects and reference

Macarron uses Maaslin2 for determining the q-value of differential abundance in a phenotype of interest. For default execution, the phenotype of interest must be a category in column 1 of the metadata dataframe e.g. IBD in diagnosis in the demo. This is also the column that is picked by the metadata_variable argument for identifying the main phenotypes/conditions in any dataset (see Macarron.log file). Further, in the default execution, all columns in the metadata table are considered as fixed effects and the alphabetically first categorical variable in each covariate with two categories is considered as the reference. Maaslin2 requires reference categories to be explicitly defined for all categorical metadata with more than two categories. Defaults can be changed with the arguments fixed_effects, random_effects and reference. In the demo example, fixed effects and reference can be defined as follows:

prism_qval <- calQval(se = prism_mbx,
                      mod.assn = prism_modules,
                      metadata_variable = "diagnosis",
                      fixed_effects = c("diagnosis","age","antibiotics"),
                      reference = c("diagnosis,Control";"antibiotics,No"))

4 Command line invocation

The package source contains a script MacarronCMD.R in inst/scripts to invoke Macarron in the command line using Rscript. The inst/scripts folder also contains a README file that comprehensively documents the usage of the script.

Macarron User Manual

14 April 2025