PlotRF: Plot Random Forest

Description Usage Arguments See Also

Description

Set of functions for plotting the results of Random Forest analysis.

PlotRF.Classification - plot feature classification.

PlotRF.VIP - plot variable importance of features ranked by their contributions to classification accuracy (MeanDecreaseAccuracy).

PlotRF.Outlier - plot outlying measures, only top 5 potential outliers are labeled.

Usage

1
2
3
4
5
6
7
8
PlotRF.Classification(dataSet, analSet, imgName = "rf_cls_", format = "png",
  dpi = 72, width = NA)

PlotRF.VIP(dataSet, analSet, imgName = "rf_imp_", format = "png",
  dpi = 72, width = NA)

PlotRF.Outlier(dataSet, analSet, imgName = "rf_outiler_", format = "png",
  dpi = 72, width = NA)

Arguments

dataSet

List, data set object generated by MS_to_MA function.

analSet

List, containing the results of statistical analysis (can be just an empty list).

imgName

Image file name prefix.

format

Image format, one of: "png", "tiff", "pdf", "ps", "svg"

dpi

Image resolution.

width

Image width.

See Also

RF.Anal for analytical function


flajole/MApckg documentation built on May 16, 2019, 1:16 p.m.