ggRandomForests (version 2.2.0)

gg_minimal_vimp: Minimal depth vs VIMP comparison by variable rankings.

Description

Minimal depth vs VIMP comparison by variable rankings.

Usage

gg_minimal_vimp(object, ...)

Value

gg_minimal_vimp comparison object.

Arguments

object

A rfsrc object, predict.rfsrc object or the list from the var.select.rfsrc function.

...

optional arguments passed to the var.select function if operating on an rfsrc object.

See Also

plot.gg_minimal_vimp var.select

Examples

## Examples from RFSRC package...
## ------------------------------------------------------------
## classification example
## ------------------------------------------------------------
## -------- iris data
## You can build a randomForest
# rfsrc_iris <- rfsrc(Species ~ ., data = iris)
# varsel_iris <- randomForestSRC::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_vimp(varsel_iris)

# Plot the gg_minimal_depth object
plot(gg_dta)

## ------------------------------------------------------------
## Regression example
## ------------------------------------------------------------
if (FALSE) {
## -------- air quality data
# rfsrc_airq <- rfsrc(Ozone ~ ., data = airquality, 
#                     na.action = "na.impute")
# varsel_airq <- randomForestSRC::var.select(rfsrc_airq)
# ... or load a cached randomForestSRC object
data(varsel_airq, package="ggRandomForests")

# Get a data.frame containing error rates
gg_dta<- gg_minimal_vimp(varsel_airq)

# Plot the gg_minimal_vimp object
plot(gg_dta)
}

## -------- Boston data
data(varsel_boston, package="ggRandomForests")

# Get a data.frame containing error rates
gg_dta<- gg_minimal_vimp(varsel_boston)

# Plot the gg_minimal_vimp object
plot(gg_dta)

if (FALSE) {
## -------- mtcars data
data(varsel_mtcars, package="ggRandomForests")

# Get a data.frame containing error rates
gg_dta<- gg_minimal_vimp(varsel_mtcars)

# Plot the gg_minimal_vimp object
plot(gg_dta)
}
## ------------------------------------------------------------
## Survival example
## ------------------------------------------------------------
if (FALSE) {
## -------- veteran data
## randomized trial of two treatment regimens for lung cancer
# data(veteran, package = "randomForestSRC")
# rfsrc_veteran <- rfsrc(Surv(time, status) ~ ., data = veteran, 
#                        ntree = 100)
# varsel_veteran <- randomForestSRC::var.select(rfsrc_veteran)
# Load a cached randomForestSRC object
data(varsel_veteran, package="ggRandomForests")

gg_dta <- gg_minimal_vimp(varsel_veteran)
plot(gg_dta)

## -------- pbc data
data(varsel_pbc, package="ggRandomForests")

gg_dta <- gg_minimal_vimp(varsel_pbc)
plot(gg_dta)
}