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 standardized
to unit variance before computing quantiles so that the display scale
matches the aggregate z-score. The mean column always stores raw
(unstandardized) column means.
Usage
.varpro_imp_stats(mat, local.std = TRUE)
ggRandomForests documentation built on Aug. 4, 2026, 5:09 p.m.
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.
| .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 standardized
to unit variance before computing quantiles so that the display scale
matches the aggregate z-score. The mean column always stores raw
(unstandardized) 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.
Embedding an R snippet on your website
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.