anova_pca_metadata: Generate a matrix of anova values for associating principal...

View source: R/heatmap.R

anova_pca_metadataR Documentation

Generate a matrix of anova values for associating principal components with categorical covariates.

Description

Generate a matrix of anova values for associating principal components with categorical covariates.

Usage

anova_pca_metadata(pca_coords, pcameta, fraction_explained)

Arguments

pca_coords

Data frame of PCA coordinates, with samples by row and components by column.

pcameta

Data frame of sample metadata with sample identifiers by row and variables by column.

fraction_explained

Numeric vector containing the percent contribution to variance of each component

Value

output A numeric matrix of p values


pinin4fjords/shinyngs documentation built on Jan. 18, 2025, 7:09 p.m.