ggPCAplot: Microarray sample PCA plot

In jordirofes/OmniOmics: Analysis of metabolomics (LC-MS) and transcriptomics (Microarray) data

Microarray sample PCA plot

Description

Creates a PCA plot from a microarray object with 'exprs()' such as an ExpressionSet

Usage

ggPCAplot(object, pc = c(1, 2), groupvar, scale = TRUE, interactive = TRUE)

Arguments

object	Microarray data from a ExpressionSet or GeneFeatureSet
pc	A vector of length two indicanting the principal components to plot on each axis
groupvar	A numeric indicating the column to use as grouping factor or a character indicating it's name
scale	A boolan indicating if the PCA will be scaled, (the default is TRUE).
interactive	A boolean indicating if the plot will be converted to an interactive 'ggplotly()'

Value

Returns a ggplot object or a ggplotly

Author(s)

Jordi Rofes Herrera

jordirofes/OmniOmics documentation built on Nov. 22, 2022, 5:46 a.m.