plotVI2 {rfVarImpOOB} | R Documentation |
creates barplots for variable importances
Description
creates barplots for variable importances including permutation scores
Usage
plotVI2(VIbench, decreasing = TRUE, with_MDA = TRUE, ordered_by = "inbag",
score = "Gini Importance", horizontal = TRUE, fill = "order",
labelSize = 10, nrow = 3)
Arguments
VIbench |
matrix with importance scores as returned by GiniImportanceForest |
decreasing |
which direction to sort |
with_MDA |
also visualize mean decrease in accuracy (permutation importance) |
ordered_by |
how to order |
score |
type of importance score: Gini, MIA,.. |
horizontal |
horizontal barplot instead of vertical ? |
fill |
fill style for barplots; use e.g. shQuote("blue") to pass color strings |
labelSize |
size of axis labels |
nrow |
number of rows of ploztz arrangement |
Author(s)
Markus Loecher <Markus.Loecher@gmail.com>
Examples
data("titanic_train", package = "rfVarImpOOB", envir = environment())
set.seed(123)
ranRows=sample(nrow(titanic_train), 300)
data=titanic_train[ranRows,]
RF = randomForest::randomForest(formula = Survived ~ Sex + Pclass + PassengerId,
data=data,
ntree=5,importance=TRUE,
mtry=3,keep.inbag=TRUE,
nodesize = 20)
data$Survived = as.numeric(data$Survived)-1
VI_Titanic = GiniImportanceForest(RF, data,ylab="Survived")
plotVI2(VI_Titanic,decreasing = TRUE)
[Package rfVarImpOOB version 1.0.3 Index]