## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## You can build a randomForest
# rfsrc_iris <- rfsrc(Species ~ ., data = iris)
# varsel_iris <- var.select(rfsrc_iris)
# ... or load a cached randomForestSRC object
data(varsel_iris, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta <- gg_minimal_depth(varsel_iris)
print(gg_dta)
## ------------------------------------------------------------
## regression example
## ------------------------------------------------------------
if (FALSE) {
# ... or load a cached randomForestSRC object
data(varsel_airq, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta<- gg_minimal_depth(varsel_airq)
print(gg_dta)
# To nicely print a rfsrc::var.select output...
print(varsel_airq)
}
# ... or load a cached randomForestSRC object
data(varsel_boston, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta<- gg_minimal_depth(varsel_boston)
print(gg_dta)
# To nicely print a rfsrc::var.select output...
print(varsel_boston)
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