ggRandomForests (version 2.2.0)

gg_partial_coplot.rfsrc: Data structures for stratified partial coplots

Description

Data structures for stratified partial coplots

Usage

# S3 method for rfsrc
gg_partial_coplot(
  object,
  xvar,
  groups,
  surv_type = c("mort", "rel.freq", "surv", "years.lost", "cif", "chf"),
  time,
  ...
)

Value

gg_partial_coplot object. An subclass of a gg_partial_list object

Arguments

object

rfsrc object

xvar

list of partial plot variables

groups

vector of stratification variable.

surv_type

for survival random forests, c("mort", "rel.freq", "surv", "years.lost", "cif", "chf")

time

vector of time points for survival random forests partial plots.

...

extra arguments passed to plot.variable function

Examples

if (FALSE) {
# Load the forest
data(rfsrc_pbc, package="ggRandomForests")

# Create the variable plot.
ggvar <- gg_variable(rfsrc_pbc, time = 1)

# Find intervals with similar number of observations.
copper_cts <- quantile_pts(ggvar$copper, groups = 6, intervals = TRUE)

# Create the conditional groups and add to the gg_variable object
copper_grp <- cut(ggvar$copper, breaks = copper_cts)

## We would run this, but it's expensive
partial_coplot_pbc <- gg_partial_coplot(rfsrc_pbc, xvar = "bili",
                                         groups = copper_grp,
                                         surv_type = "surv",
                                         time = 1,
                                         show.plots = FALSE)

## so load the cached set
data(partial_coplot_pbc, package="ggRandomForests")

# Partial coplot
plot(partial_coplot_pbc) #, se = FALSE)
}