Normalize raw data to fractions
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
.
RelativeCounts(data, scale.factor = 1, verbose = TRUE)
data |
Matrix with the raw count data |
scale.factor |
Scale the result. Default is 1 |
verbose |
Print progress |
Returns a matrix with the relative counts
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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