Pareto Scaling

This function performs Pareto scaling on a numeric matrix or data frame. Pareto scaling scales each variable (column) by dividing it by the square root of its standard deviation.

Usage

pareto_scale(x, drop.na = FALSE)

Arguments

x

A numeric matrix or data frame to be scaled.

drop.na

A logical value indicating whether to ignore missing values (NA) when computing the standard deviations. Default is FALSE.

Value

A numeric matrix (or a tibble if x is a data frame) with the same dimensions as x, but with each variable scaled by the square root of its standard deviation.

Author

Christian L. Goueguel

Examples

data(forageLIBS)
spectra <- forageLIBS[-(1:14)]  # the spectral channels
pareto_scale(spectra)[1:3, 1:4]
#> # A tibble: 3 × 4
#>   `199.3771616` `199.4644141` `199.5516666` `199.6389192`
#>           <dbl>         <dbl>         <dbl>         <dbl>
#> 1          221.          215.          133.          214.
#> 2          221.          218.          132.          209.
#> 3          219.          215.          133.          214.