## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## You can build a randomForest
# iris_rf <- rfsrc(Species ~ ., data = iris)
# iris_vs <- var.select(iris_rf)
# ... or load a cached randomForestSRC object
data(iris_vs, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta<- gg_minimal_depth(iris_vs)
print(gg_dta)
## ------------------------------------------------------------
## regression example
## ------------------------------------------------------------
# ... or load a cached randomForestSRC object
data(airq_vs, package="ggRandomForests")
# Get a data.frame containing minimaldepth measures
gg_dta<- gg_minimal_depth(airq_vs)
print(gg_dta)
# To nicely print a rfsrc::var.select output...
print.gg_minimal_depth(airq_vs)
Run the code above in your browser using DataLab