pair_corr {pcaExplorer} | R Documentation |
Pairwise scatter and correlation plot of counts
pair_corr(df, log = FALSE, method = "pearson", use_subset = TRUE)
df |
A data frame, containing the (raw/normalized/transformed) counts |
log |
Logical, whether to convert the input values to log2 (with addition of a pseudocount). Defaults to FALSE. |
method |
Character string, one of |
use_subset |
Logical value. If TRUE, only 1000 values per sample will be used to speed up the plotting operations. |
A plot with pairwise scatter plots and correlation coefficients
library(airway) data(airway) airway dds_airway <- DESeq2::DESeqDataSetFromMatrix(assay(airway), colData = colData(airway), design=~dex+cell) pair_corr(counts(dds_airway)[1:100,]) # use just a subset for the example