## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## Not run:
# ## 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)
# ## End(Not run)
## ------------------------------------------------------------
## regression example
## ------------------------------------------------------------
## Not run:
# # ... 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)
# ## End(Not run)
## Not run:
# # ... 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)
# ## End(Not run)
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