Calculate the correlation relationshipt among all covariates in the metadata table

This function will calculate the correlation among all columns in the metadata

degCorCov(metadata, fdr = 0.05, ...)

Arguments

metadata	data.frame with samples metadata.
fdr	numeric value to use as cutoff to determine the minimum fdr to consider significant correlations between pcs and covariates.
...	Parameters to pass to ComplexHeatmap::Heatmap().

Value

: list: a) cor, data.frame with pair-wise correlations, pvalues, FDR b) corMat, data.frame with correlation matrix c) fdrMat, data.frame with FDR matrix b) plot, Heatmap plot of correlation matrix

Examples

data(humanGender)
library(DESeq2)
idx <- c(1:10, 75:85)
dse <- DESeqDataSetFromMatrix(assays(humanGender)[[1]][1:1000, idx],
  colData(humanGender)[idx,], design=~group)
cor <- degCorCov(colData(dse))
#> Warning: The input is a data frame, convert it to the matrix.