View source: R/normalisation.R
For each sample, every feature intensity value is divided by the total sum of
all feature intensity values measured in that sample (
ignored by default), before multiplication by 100; the unit is %.
normalise_to_sum(df, check_df = TRUE)
A matrix-like (e.g. an ordinary matrix, a data frame) or
RangedSummarizedExperiment-class object with
all values of class
Object of class
SummarizedExperiment. If input data are a
matrix-like (e.g. an ordinary matrix, a data frame) object, function returns
the same R data structure as input with all value of data type
df <- MTBLS79[ ,MTBLS79$Batch == 1] out <- normalise_to_sum (df=df)
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