rfviz-package: Rfviz: An Interactive Visualization Package for Random...

Description Details Note Author(s) References See Also

Description

Rfviz is an interactive package and toolkit in R, using TclTK code on the backend, to help in viewing and interpreting the results Random Forests for both Supervised Classification and Regression in a user-friendly way.

Details

Currently, rfviz implements the following statistical graphs, with functions to view any combination of the plots:

The three plots are:

1. The classic multidimensionally scaled proximities are plotted as a 2-D XYZ scatterplot.

2. The raw input data is plotted in a parallel coordinate plot.

3. The local importance scores of each observation are plotted in a parallet coordinate plot.

rfviz is built using the package Loon on the backend, and implements the random forests algorithm.

For detailed instructions in the use of these plots in this package, visit https://github.com/chrisbeckett8/rfviz/blob/master/Rfviz.md

Note

For instructions on how to use randomForests, use ?randomForest. For more information on loon, use ?loon.

Author(s)

Chris Beckett chrisbeckett8@gmail.com, based on original Java graphics by Leo Breiman and Adele Cutler.

References

Liaw A, Wiener M (2002). “Classification and Regression by randomForest.” _R News_, *2*(3), 18-22. https://CRAN.R-project.org/doc/Rnews/

Waddell A, Oldford R. Wayne (2018). "loon: Interactive Statistical Data Visualization" https://github.com/waddella/loon

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

Breiman, L (2002), “Manual On Setting Up, Using, And Understanding Random Forests V3.1”, https://www.stat.berkeley.edu/~breiman/Using_random_forests_V3.1.pdf

Breiman, L., Cutler, A., Random Forests Graphics. https://www.stat.berkeley.edu/~breiman/RandomForests/cc_graphics.htm

See Also

randomForest, rf_prep, rf_viz, l_plot, l_serialaxes


rfviz documentation built on May 2, 2019, 1:42 p.m.