plotComponent: Generate plots for single component

In jinhyunju/picaplot: An R package for analyzing gene expression data with Principal / Independent Component Analysis

Description

Generate gene weight and coefficient plots for a single independent or principal component.

Usage

plotComponent(input_list = NULL, comp_idx, geneinfo_df = NULL,
  plot_here = TRUE)

Arguments

input_list	ICA or PCA object generated by 'runICA()' or 'runPCA()'
comp_idx	Component number to be plotted.
geneinfo_df	Dataframe containing information about the gene positions. This is used to generate the gene weight plot
plot_here	If set to TRUE it will generate the plots in the current session, and if set to FALSE it will return a list of plots only and not generate plots in the current session.

Value

List of plots

Examples

data(expr_data)

pca_object <- runPCA(expr_data)
plotComponent(pca_object, comp_idx = 1)

jinhyunju/picaplot documentation built on May 19, 2019, 10:35 a.m.