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Normalize count data to relative counts per cell by dividing by the total per cell. Optionally use a scale factor, e.g. for counts per million (CPM) use scale.factor = 1e6.
scale.factor = 1e6
RelativeCounts(data, scale.factor = 1, verbose = TRUE, ...)
Matrix with the raw count data
Scale the result. Default is 1
Print progress
Ignored
Returns a matrix with the relative counts
# NOT RUN { mat <- matrix(data = rbinom(n = 25, size = 5, prob = 0.2), nrow = 5) mat mat_norm <- RelativeCounts(data = mat) mat_norm # }
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