PCAtools_eigencorplot: Principal Component Analysis with PCAtools package

View source: R/fct_04_pca.R

PCAtools_eigencorplotR Documentation

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 Oct. 27, 2024, 4:56 a.m.