PCAtools_eigencorplot: Principal Component Analysis with PCAtools package

In espors/idepGolem: Integrated Differential Expression and Pathway Analysis

Principal Component Analysis with PCAtools package

Description

Generates a plot showing correlations between Principal Components and design factors

Usage

PCAtools_eigencorplot(processed_data, sample_info)

Arguments

sample_info	Matrix of sample information from experiment design file
data	Matrix of gene data that has been through pre_process())

Value

A ggplot object as a formatted plot generated with PCAtools package

See Also

pca() and eigencorplot() for specific documentation from the PCAtools package

Other PCA functions: MDS_plot(), PCA_Scree(), PCA_biplot(), PCA_plot(), PCA_plot_3d(), pc_factor_correlation(), t_SNE_plot()

espors/idepGolem documentation built on April 23, 2024, 1:11 p.m.