summary.gg: Summary methods for gg_* data objects

In ggRandomForests: Visually Exploring Random Forests

Summary methods for gg_* data objects

Description

Where print gives you a one-line header, summary digs a level deeper. Each summary.gg_*() method returns a summary.gg object: a header line plus a few diagnostic statistics for that object type (the OOB error curve, the top VIMP variables, a time range, the integrated CRPS, and so on). print.summary.gg() renders it to the console.

Usage

## S3 method for class 'summary.gg'
print(x, ...)

## S3 method for class 'gg_error'
summary(object, ...)

## S3 method for class 'gg_vimp'
summary(object, ...)

## S3 method for class 'gg_rfsrc'
summary(object, ...)

## S3 method for class 'gg_variable'
summary(object, ...)

## S3 method for class 'gg_partial'
summary(object, ...)

## S3 method for class 'gg_partial_rfsrc'
summary(object, ...)

## S3 method for class 'gg_partialpro'
summary(object, ...)

## S3 method for class 'gg_partial_varpro'
summary(object, ...)

## S3 method for class 'gg_roc'
summary(object, ...)

## S3 method for class 'gg_survival'
summary(object, ...)

## S3 method for class 'gg_varpro'
summary(object, ...)

## S3 method for class 'gg_udependent'
summary(object, ...)

## S3 method for class 'gg_brier'
summary(object, ...)

## S3 method for class 'gg_isopro'
summary(object, ...)

## S3 method for class 'gg_beta_varpro'
summary(object, ...)

## S3 method for class 'gg_ivarpro'
summary(object, ...)

Arguments

x	A summary.gg object (for print.summary.gg).
...	Not currently used.
object	A gg_* data object.

Value

A summary.gg object: a list with header and body character vectors. print.summary.gg returns it invisibly.

See Also

print.gg, autoplot.gg

Examples

set.seed(42)
airq <- na.omit(airquality)
rf <- randomForestSRC::rfsrc(Ozone ~ ., data = airq, ntree = 50)
summary(gg_error(rf))
summary(gg_vimp(rf))

ggRandomForests documentation built on June 13, 2026, 5:07 p.m.