Column Weighted Means — colWeightedArithmeticMeans • sigscores

This function computes the *weighted mean* for each column in an input matrix. See the **Details** section below for further information.

Usage

colWeightedArithmeticMeans(x, w, rows = NULL, na.rm = TRUE, ...)

x: a numerical matrix features-by-samples
w: numerical vector of weights. Its length must match the number of rows in x
rows: (optional) numerical vector giving the rows in x or character vector matching the row names in x to operate over. If missing or rows = NULL, all the rows in x are considered for the computation of the measures
na.rm: logical, whether to remove NA values from x before computation
...: further arguments to colWeightedMeans

A numerical vector containing the computed score for each column in x.

It is a wrapper to colWeightedMeans function.

Alessandro Barberis

x = matrix(data = c(1,3,1,4), ncol = 2)
w = c(1,1)
colWeightedArithmeticMeans(x = x, w = w)
#> [1] 2.0 2.5