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This function computes the *median absolute deviation* for each column vector in the input matrix x. See the **Details** section below for further information.

Usage

colMADs(x, rows = NULL, na.rm = T, ...)

Arguments

x

a numerical matrix features-by-samples

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 colMads

Value

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

Details

It is a wrapper to colMads function.

Author

Alessandro Barberis

Examples

x = c(1,1,2,2,4,6,9)
x = cbind(S1 = x, S2 = x)
colMADs(x)#1.4826 1.4826
#> [1] 1.4826 1.4826