Create a barplot of relative variable importance scores.

Given a named vector of variable importance measures, this function makes a barplot of the relative importances. The importances are scaled to sum to 1. An appropriate input is one column of the output from varImpY() or varImpCoeff().

plotImp(importance_vector, ...)

Arguments

importance_vector	a named vector where the names are the variables and the vector stores the importances.
...	additional arguments to plot, such as "main", "cex", etc.

Examples

imp <- varImpCoeff(forest)[,3]
#> [1] "working on tree"
#> [1] 1
#> [1] 2
#> [1] 3
#> [1] 4
#> [1] 5
#> [1] 6
#> [1] 7
#> [1] 8
#> [1] 9
#> [1] 10
plotImp(imp, main="Standardized Variable Importance")