pareto_scale {IMIFA} | R Documentation |
Pareto Scaling
Description
Pareto scaling of a numeric matrix, with or without centering. Observations are scaled by the square-root of their column-wise standard deviations.
Usage
pareto_scale(x,
centering = TRUE)
Arguments
x |
A numeric matrix-like object. |
centering |
A logical vector indicating whether centering is to be applied (default= |
Value
The Pareto scaled version of the matrix x
.
Author(s)
Keefe Murphy - <keefe.murphy@mu.ie>
References
van den Berg, R. A., Hoefsloot, H. C. J, Westerhuis, J. A., Smilde, A. K., and van der Werf, M.J. (2006) Centering, scaling, and transformations: improving the biological information content of metabolomics data. BMC Genomics, 7(142).
Examples
dat <- pareto_scale(olive[,-(1:2)])
[Package IMIFA version 2.2.0 Index]