Column Average Absolute Deviation — colAADs • sigscores

This function computes the average absolute deviation for each column vector in the input matrix x.

Usage

colAADs(x, center, rows = NULL, na.rm = T, ...)

x: a numerical matrix features-by-samples
center: numerical value, the central point
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 colMeans2

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

Alessandro Barberis

x = cbind(c(2,2,3,4,14), c(2,2,3,4,14))
colAADs(x)#2.8 2.8
#> [1] 2.8 2.8