plot_pca: Plot Flat Three Dimensional PCA

In luciorq/txomics: Functional Analysis and Visualization of Transcriptomic Data

Description

Plot the results of a pseudo/flat tri-dimensional principal component analysis, using 2 two dimensional plots.

Usage

plot_pca(tx, sample_table, color_by = NULL, num = NULL,
  label = FALSE)

Arguments

tx	txi object, matrix or data frame with trancript abundance
sample_table	metadata data frame, containing description of each sample and experimental design
color_by	variable from sample table to group samples in the plot
num	number of genes to plot, filtering by variance between samples, if num is negative, it is used the absolute num of genes with smaller, if num is NULL all genes are used. default = NULL.
label	print labels for each sample. Default = FALSE

luciorq/txomics documentation built on Sept. 3, 2020, 5:36 a.m.