ggRandomForests (version 2.0.1)

gg_partial_coplot.rfsrc: Data structures for stratified partial coplots

Description

Data structures for stratified partial coplots

Usage

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

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

Value

gg_partial_coplot object. An subclass of a gg_partial_list object

Examples

## Not run: 
# # 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)
# ## End(Not run)
## Not run: 
# ## 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)
# ## End(Not run)
## Not run: 
# ## so load the cached set
# data(partial_coplot_pbc, package="ggRandomForests")
# 
# # Partial coplot
# plot(partial_coplot_pbc) #, se = FALSE)
#  ## End(Not run)