View source: R/normalisation.R
normalise_to_sum  R Documentation 
For each sample, every feature intensity value is divided by the total sum of
all feature intensity values measured in that sample (NA
values
ignored by default), before multiplication by 100; the unit is %.
normalise_to_sum(df, check_df = TRUE)
df 
A matrixlike (e.g. an ordinary matrix, a data frame) or
RangedSummarizedExperimentclass object with
all values of class 
check_df 

Object of class SummarizedExperiment
. If input data are a
matrixlike (e.g. an ordinary matrix, a data frame) object, function returns
the same R data structure as input with all value of data type
numeric()
.
df < MTBLS79[ ,MTBLS79$Batch == 1] out < normalise_to_sum (df=df)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.