pareto_scale function

Pareto Scaling

Pareto scaling of a numeric matrix, with or without centering. Observations are scaled by the square-root of their column-wise standard deviations.

pareto_scale(x,
             centering = TRUE)

Arguments

• x: A numeric matrix-like object.
• centering: A logical vector indicating whether centering is to be applied (default=TRUE).

Returns

The Pareto scaled version of the matrix x.

Examples

dat  <- pareto_scale(olive[,-(1:2)])

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).

Author(s)

Keefe Murphy - <keefe.murphy@mu.ie >