This function performs principal component analyses (PCA).
check.normality(
DEprot.object,
p.threshold = 0.05,
which.data = "imputed",
verbose = TRUE
)
An object of class DEprot
or DEprot.analyses
.
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
.
String indicating which type of counts should be used. One among: 'raw', 'normalized', 'norm', 'imputed', 'imp'. Default: "imputed"
.
Logical value indicating whether messages should be printed. Default: TRUE
.
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.