relImpPlot: Plot relative importance of covariates
In KevinSee/qRfish: Estimate carrying capacity with quantile regression forests
Description
Usage
Arguments
Author(s)
Examples
Description
plot the relative importance of each covariate in a quantile regression forest model
Usage
1
2
relImpPlot(mod, covar_dict, fill = "gray40", title = "Relative Importance",
relImp_var = c("relImp", "IncNodePurity"))
Arguments
mod
object of class quantregForest returned by the function quantregForest
covar_dict
data.frame containing columns called ShortName and Name. ShortName corresponds to the covariates that went into the mod, while Name is a longer version for plotting purposes.
Author(s)
Kevin See
Examples
1
relImpPlot(qrf_mod)
KevinSee/qRfish documentation built on May 8, 2019, 4:50 p.m.
R Package Documentation
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Description Usage Arguments Author(s) Examples
Description
plot the relative importance of each covariate in a quantile regression forest model
Usage
1 2 | relImpPlot(mod, covar_dict, fill = "gray40", title = "Relative Importance",
relImp_var = c("relImp", "IncNodePurity"))
|
Arguments
mod |
object of class |
covar_dict |
|
Author(s)
Kevin See
Examples
1 | relImpPlot(qrf_mod)
|
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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