analyse_integrated_individuals {OMICsPCA} | R Documentation

## Quick analysis and visualization of the individuals/annotations/rows (e.g. Tss, gene)

### Description

This function works similarly as "analyse_individuals()". The only extra argument needs to be supplied here is "start_end", (if choice = 1.) returned by "integrate_pca()"

### Usage

    analyse_integrated_individuals(
    name, choice = 1, geom = "point",
    PC = c(1,2), groupinfo = NULL, ...)

### Arguments

`name` | Name of the "PCA" object containing the integrated PCA.
`choice` |
    1 = 2D scatterplot on selected PCs through PC argument.
    2 = 3D scatterplot on selected PCs through PC argument

    for details of the choices see the vignette
`geom` | Used when choice = 1. Avalilabe options are : "point", "text", c("point","text"). default = "point"
`PC` | A vector of numbers corresponding to principal components
`groupinfo` | same as integrate_variables()
`...` | additional arguments allowed to base function "plot3d" of package "rgl"

### Value

Displays various plots and tables as per the combination of input arguments

### Author(s)

Subhadeep Das <subhadeep1024@gmail.com>

### Examples

    exclude <- list(0,c(1,9))

    int_PCA <- integrate_pca(Assays = c("H2az",
    "H3k9ac"), name = multi_assay, mergetype = 2,
    exclude = exclude,
    groupinfo = groupinfo_ext, graph = FALSE)

    name = int_PCA$int_PCA

    analyse_integrated_individuals(
    name = name,
    choice = 2, PC = c(1,2,3),
    col = c("RED", "BLACK","GREEN"),
    groupinfo = groupinfo_ext)

[Package OMICsPCA version 1.4.0 Index]