ggRandomForests (version 1.1.0)

pbc_prtl: randomForestSRC::plot.variable Object for the pbc data.

Description

The randomForestSRC::plot.variable data set for the pbc survival dataset.

format

A randomForestSRC::plot.variable object for survival

References

Ishwaran H. and Kogalur U.B. (2014). Random Forests for Survival, Regression and Classification (RF-SRC), R package version 1.5.4.

Ishwaran H. and Kogalur U.B. (2007). Random survival forests for R. R News 7(2), 25-31.

Ishwaran H., Kogalur U.B., Blackstone E.H. and Lauer M.S. (2008). Random survival forests. Ann. Appl. Statist. 2(3), 841-860.

Examples

## Examples from randomForestSRC::rfsrc
##
data(pbc, package = "randomForestSRC")
pbc_rf <- rfsrc(Surv(days, status) ~ ., pbc, nsplit = 10)

# generate partial plot data for 4 different covariates.
pbc_prtl <- plot.variable(pbc_rf, time=90,surv.type="surv",
                          xvar.names = c("bili", "copper", "albumin", "age"),
                          partial=TRUE, show.plots=FALSE)

# Format for ggRandomForests
ggprtl <- gg_partial(pbc_prtl)

# Without specifying which plot, plot.gg_partial returns a list of all four
# figures.
plot(ggprtl)

plot.gg_partial(ggprtl[[1]])
plot.gg_partial(ggprtl[[4]])