ggRandomForests (version 2.2.1)

print.gg_minimal_depth: Print a gg_minimal_depth object.

Description

Print a gg_minimal_depth object.

Usage

# S3 method for gg_minimal_depth
print(x, ...)

Arguments

x

a gg_minimal_depth object.

...

optional arguments

Examples

if (FALSE) {
## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## You can build a randomForest
rfsrc_iris <- rfsrc(Species ~ ., data = iris)
varsel_iris <- var.select(rfsrc_iris)

# Get a data.frame containing minimaldepth measures
gg_dta <- gg_minimal_depth(varsel_iris)
print(gg_dta)

## ------------------------------------------------------------
## regression example
## ------------------------------------------------------------
# ... or load a cached randomForestSRC object
rfsrc_airq <- rfsrc(Ozone ~ ., data = airquality, na.action = "na.impute")
varsel_airq <- var.select(rfsrc_airq)


# 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(Boston, package="MASS")
rfsrc_boston <- randomForestSRC::rfsrc(medv~., Boston)

varsel_boston <- var.select(rfsrc_boston)

# 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)
}