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Scale a vector

Source: R/normalise.R
n_scaled.Rd

Scales a vector for normalisation using the method applied in the GII2020 for some indicators. This does x_scaled <- (x-l)/(u-l) * scale_factor. Note this is not the minmax transformation (see n_minmax()). This is a linear transformation with shift u and scaling factor u-l.

Usage

n_scaled(x, npara = c(0, 100), scale_factor = 100)

Arguments

x

A numeric vector

npara

Parameters as a vector c(l, u). See description.

scale_factor

Optional scaling factor to apply to the result. Default 100.

Value

Scaled vector

Details

This function also supports parameter specification in iMeta for the Normalise.coin() method. To do this, add columns scaled_lower, scaled_upper and scale_factor to the iMeta table, which specify the first and second elements of npara, respectively. Then set f_n_para = "use_iMeta" within the global_specs list. See also examples in the normalisation vignette.

Examples

x <- runif(20)
n_scaled(x, npara = c(1,10))
#>  [1]  -7.822166  -3.966640  -2.253772  -1.934779  -4.014307  -1.806447
#>  [7]  -3.618005  -8.035937  -2.106239  -7.789435  -6.035125  -7.541234
#> [13] -11.029090  -1.003151  -2.566811 -11.043756 -10.322312  -2.220223
#> [19]  -3.922382  -6.243021