View source: R/RepDaAnalysisFns.R
setUp | R Documentation |
Setup repseq object for differential abudance analysis, CDR3 counts are changed to counts per million for all samples
setUp(sampleNames = NULL, samGroup = NULL, normToCPM = T)
sampleNames |
is a vector of sample names (that have been already read into R ) |
samGroup |
a vector of group labels, e.g c(0,0,1,1), 0 for samples in first condition and 1 for samples in second condition. |
normToCPM |
normalize all repseq samples to a total repertoire size of 1e6 (1 million) by default. |
a repSeq object which is a list containing the raw data (normalized to 1e6 in all samples if normToCPM is set to true),the sample names, and their group status
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