This function performs principal component analyses (PCA).

check.normality(
  DEprot.object,
  p.threshold = 0.05,
  which.data = "imputed",
  verbose = TRUE
)

Arguments

DEprot.object

An object of class DEprot or DEprot.analyses.

p.threshold

Numeric value indicating the p-value threshold to use to define whether a distribution is normal (based on Anderson-Darling normality test). Default: 0.05.

which.data

String indicating which type of counts should be used. One among: 'raw', 'normalized', 'norm', 'imputed', 'imp'. Default: "imputed".

verbose

Logical value indicating whether messages should be printed. Default: TRUE.

Value

A DEprot.normality object containing: the norm.statement indicating whether all the samples are normally distributed or not, the norm.AD.tests list of Anderson-Darling normality test outputs, a list of qqplots and densities profiles for each sample.