Global importance measure for a PPforest object

Usage

ppf_global_imp(data, y, ppf)

Arguments

data: Data frame with the complete data set.
y: A character with the name of the class variable.
ppf: is a PPforest object

Value

Data frame with the global importance measure

References

da Silva, N., Cook, D., & Lee, E. K. (2021). A projection pursuit forest algorithm for supervised classification. Journal of Computational and Graphical Statistics, 30(4), 1168-1180.

Examples

#crab data set with all the observations used as training
pprf.crab <- PPforest(data = crab, y = 'Type',
 std = 'no',  size.tr = 1, m = 200, size.p = .5, 
 PPmethod = 'LDA', parallel = TRUE, cores = 2)
 
ppf_global_imp(data = crab, y = 'Type', pprf.crab) 
#> # A tibble: 5 × 2
#>   variable  mean
#>   <fct>    <dbl>
#> 1 RW       0.404
#> 2 FL       0.295
#> 3 BD       0.291
#> 4 CL       0.241
#> 5 CW       0.238