dot-varpro_imp_stats: Compute per-variable box statistics from a per-tree...
In ggRandomForests: Visually Exploring Random Forests
.varpro_imp_stats R Documentation
Compute per-variable box statistics from a per-tree importance matrix
Description
When local.std = TRUE the columns of mat are standardised
to unit variance before computing quantiles so that the display scale
matches the aggregate z-score. The mean column always stores raw
(unstandardised) column means.
Usage
.varpro_imp_stats(mat, local.std = TRUE)
ggRandomForests documentation built on June 13, 2026, 5:07 p.m.
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| .varpro_imp_stats | R Documentation |
Compute per-variable box statistics from a per-tree importance matrix
Description
When local.std = TRUE the columns of mat are standardised
to unit variance before computing quantiles so that the display scale
matches the aggregate z-score. The mean column always stores raw
(unstandardised) column means.
Usage
.varpro_imp_stats(mat, local.std = TRUE)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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