plot.proximity {randomSurvivalForest}R Documentation

Plot of Proximity

Description

Multidimensional scaling plot of proximity matrix.

Usage

    plot.proximity(x, ...)

Arguments

x An object of class (rsf, grow) or (rsf, predict). Note that proximity=TRUE must be used in the original rsf call.
... Further arguments passed to or from other methods.

Details

Extracts proximity information from x and converts this to a symmetric proximity matrix. Dissimilarities between points are then converted into distances using the R multidimensional scaling function cmdscale and then plotted. Overlayed on the plot are mortality values, rescaled from 1-100, with 1 indicating low mortality, and 100 indicating high mortality. Mortality values will be well separated in successful analyses.

Value

Invisibly, the proximity matrix.

Author(s)

Hemant Ishwaran hemant.ishwaran@gmail.com and Udaya B. Kogalur ubk2101@columbia.edu

References

H. Ishwaran and Udaya B. Kogalur (2006). Random Survival Forests. Cleveland Clinic Technical Report.

See Also

rsf, predict.rsf.

Examples

  data(pbc, package = "randomSurvivalForest") 
  pbc.prox.out <- rsf(Survrsf(days,status)~., pbc, ntree = 1000, proximity = TRUE)
  plot.proximity(pbc.prox.out)

[Package randomSurvivalForest version 2.1.0 Index]