Description Usage Arguments See Also
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.
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)
|
dataSet |
List, data set object generated by |
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. |
RF.Anal
for analytical function
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