varimplot

0th

Percentile

A plot with variable importance score on X-axis and variable name on Y-axis.

A plot with variable importance score on X-axis and variable name on Y-axis.

Usage
varimplot(object)
Arguments
object

An object of class '>mobforest.output returned by mobforest.analysis()

References

Leo Breiman (2001). Random Forests. Machine Learning, 45(1), 5-32.

See Also

get.varimp

Aliases
  • varimplot
Examples
# NOT RUN {
library(mlbench)
set.seed(1111)
# Random Forest analysis of model based recursive partitioning load data
data("BostonHousing", package = "mlbench")
BostonHousing <- BostonHousing[1:90, c("rad", "tax", "crim", "medv", "lstat")]

# Recursive partitioning based on linear regression model medv ~ lstat with 3
# trees.  1 core/processor used. 
rfout <- mobforest.analysis(as.formula(medv ~ lstat), c("rad", "tax", "crim"),
    mobforest_controls = mobforest.control(ntree = 3, mtry = 2, replace = T,
        alpha = 0.05, bonferroni = T, minsplit = 25), data = BostonHousing,
    processors = 1, model = linearModel, seed = 1111)
 varimplot(rfout)
# }
# NOT RUN {
# }
Documentation reproduced from package mobForest, version 1.3.1, License: GPL (>= 2)

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