## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## You can build a randomForest
# rfsrc_iris <- rfsrc(Species ~ ., data = iris)
# ... or load a cached randomForestSRC object
data(rfsrc_iris, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta<- gg_rfsrc(rfsrc_iris)
print(gg_dta)
## ------------------------------------------------------------
## regression example
## ------------------------------------------------------------
# ... or load a cached randomForestSRC object
data(rfsrc_airq, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta<- gg_rfsrc(rfsrc_airq)
print(gg_dta)
# To nicely print a rfsrc output...
print.gg_rfsrc(rfsrc_airq)
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