The variable transformation module is used to transform a single variable
in the index table object. The transformation is specified by a variable
transformation object of class var_trans, created by
trans_* functions. Currently, the following transformation functions
are supported: trans_log10, trans_quadratic,
trans_square_root, and trans_cubic_root.
Usage
variable_trans(data, ...)
trans_log10(var)
trans_quadratic(var)
trans_square_root(var)
trans_cubic_root(var)
trans_affine(var, a = NULL, b = NULL)Arguments
- data
an index table object
- ...
an variable transformation recipe of class
var_trans, created bytrans_*function, the transformation recipe to be evaluated- var
used in
trans_*functions, the variable to be transformed- a
used in
trans_affine(), the multiplicative coefficient of affine transformation- b
used in
trans_affine(), the addtive constant of affine transformation
Examples
hdi |> init() |> variable_trans(gni_pc = trans_log10(gni_pc))
#> Index pipeline:
#>
#> Steps:
#> variable_transformation: `trans_log()` -> gni_pc
#>
#> Data:
#> # A tibble: 191 × 8
#> id country hdi rank life_exp exp_sch avg_sch gni_pc
#> <dbl> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> <dbl>
#> 1 1 Switzerland 0.962 3 84.0 16.5 13.9 0.684
#> 2 2 Norway 0.961 1 83.2 18.2 13.0 0.682
#> 3 3 Iceland 0.959 2 82.7 19.2 13.8 0.676
#> 4 4 Hong Kong, China (SAR) 0.952 4 85.5 17.3 12.2 0.681
#> 5 5 Australia 0.951 5 84.5 21.1 12.7 0.671
#> 6 6 Denmark 0.948 5 81.4 18.7 13.0 0.679
#> 7 7 Sweden 0.947 9 83.0 19.4 12.6 0.675
#> 8 8 Ireland 0.945 8 82.0 18.9 11.6 0.689
#> 9 9 Germany 0.942 7 80.6 17.0 14.1 0.675
#> 10 10 Netherlands 0.941 10 81.7 18.7 12.6 0.677
#> # ℹ 181 more rows