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Standardize each column in a matrix, so that the columns have mean 0 and SD 1.
fscale(x)
A matrix of the same form as the input, but with columns transformed to have mean 0 and SD 1.
A numeric matrix.
Karl W Broman, broman@wisc.edu
Missing values (NA) are ignored and left as is.
NA
If there is just 1 non-missing value in a column, it is left as is.
This function uses a one-pass algorithm to calculate the mean and SD, which is fast but can show a bit of round-off error.
base::scale()
x <- matrix(1:10, ncol=2) y <- fscale(x)
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