plot_corr {iCOBRA}R Documentation

Plot correlations

Description

Plot correlations between observations and a continuous truth value.

Usage

plot_corr(cobraplot, title = "", stripsize = 15, titlecol = "black",
  pointsize = 5, xaxisrange = c(-1, 1), corrtype = "pearson")

Arguments

cobraplot

A COBRAPlot object.

title

A character string giving the title of the plot.

stripsize

A numeric value giving the size of the strip text, when the results are stratified by an annotation.

titlecol

A character string giving the color of the title.

pointsize

A numeric value giving the size of the plot characters.

xaxisrange

A numeric vector with two elements, giving the lower and upper boundary of the x-axis, respectively.

corrtype

A character string giving the type of correlation to show. Either "pearson" or "spearman".

Value

A ggplot object

Author(s)

Charlotte Soneson

Examples

data(cobradata_example)
cobraperf <- calculate_performance(cobradata_example, cont_truth = "logFC",
                                   aspects = "corr")
cobraplot <- prepare_data_for_plot(cobraperf, colorscheme = "Dark2",
                                   incltruth = TRUE)
plot_corr(cobraplot, corrtype = "spearman")

[Package iCOBRA version 1.8.0 Index]