Filtering values for two group separately
There are 6 controls and 6 treatment variables in a dataset. I used these command first:
mydata <- read.delim(".csv", header = TRUE, sep=",", stringsAsFactors = FALSE, row.names = 1)
targets <- data.frame(fileName=colnames(mydata)[1:12], Group=rep(c("Control" , "Treatment"), each= 6))
I want to filter for remove low counts, But in the same table this filtering will be:
control of %20 <1 , treatment of %20 <1 separately.
I could not filter in the same table.
Can you help me? Thank you.
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Kristoffer Vitting-Seerup
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Expert •
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You should not filter individually in each group! Filtering in individual groups will inflate the false positive rate on any statistics you do downstream of the filtering.
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