ggCatInfluence: ggCatInfluence
In JBjouffray/ggBRT: Explore and Visualise the Results of Boosted Regression Trees
ggCatInfluence R Documentation
ggCatInfluence
Description
Function to return the relative influence per category of predictors from boosted regression trees obtained with the gbm.step routine in the dismo package.
Usage
ggCatInfluence(..., category = NULL, data = df, signif = FALSE)
Arguments
...
several gbm.step object (object of S3 class gbm)
category
the name of the column that contains the different categories associated to the predictors
signif
Logical. If TRUE (default FALSE), retains only the "significant" predictors (Muller et al. 2013) and rescale their influence to 100
df
a dataframe that contains the predictors and their categories
JBjouffray/ggBRT documentation built on Nov. 19, 2024, 2:34 a.m.
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| ggCatInfluence | R Documentation |
ggCatInfluence
Description
Function to return the relative influence per category of predictors from boosted regression trees obtained with the gbm.step routine in the dismo package.
Usage
ggCatInfluence(..., category = NULL, data = df, signif = FALSE)
Arguments
... |
several gbm.step object (object of S3 class gbm) |
category |
the name of the column that contains the different categories associated to the predictors |
signif |
Logical. If TRUE (default FALSE), retains only the "significant" predictors (Muller et al. 2013) and rescale their influence to 100 |
df |
a dataframe that contains the predictors and their categories |
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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