pie.abe: Pie Function

In abe: Augmented Backward Elimination

Pie Function

Description

Pie function for the resampled/bootstrapped version of ABE. Plots a pie chart of the model frequencies for specified values of 'alpha' and 'tau'.

Usage

pie.abe(x, alpha = NULL, tau = NULL, labels = NA, ...)

Arguments

x	an object of class '"abe"', an object returned by a call to [abe.resampling()]
alpha	values of alpha for which the plot is to be made (can be a vector of length >1)
tau	values of tau for which the plot is to be made (can be a vector of length >1)
labels	plot labels, defaults to NA, i.e. no labels are ploted
...	Arguments to be passed to methods, such as graphical parameters (see [pie()], [barplot()], [hist()]).

Details

When using 'type.resampling="Wallisch2021"' the plot is based on subsampling with sampling proportion equal to 0.5, otherwise as specified in 'type.resampling'.

Author(s)

Rok Blagus, [e-mail]

Sladana Babic

See Also

abe.resampling, summary.abe, plot.abe

Examples

set.seed(10)
n = 100
x1 <- runif(n)
x2 <- runif(n)
x3 <- runif(n)
y <- -5 + 5 * x1 + 5 * x2 + rnorm(n, sd = 5)
dd <- data.frame(y = y, x1 = x1, x2 = x2, x3 = x3)
fit <- lm(y ~ x1 + x2 + x3, x = TRUE, y = TRUE, data = dd)

fit.resample <- abe.resampling(fit, data = dd, include = "x1", active = "x2",
tau = c(0.05, 0.1), exact = TRUE, criterion = "alpha", alpha = c(0.2, 0.05),
type.test = "Chisq", num.resamples = 50, type.resampling = "Wallisch2021")

pie.abe(fit.resample, alpha = 0.2, tau = 0.1)

fit.resample <- abe.resampling(fit, data = dd, include = "x1", active = "x2",
tau=  c(0.05, 0.1), exact=TRUE, criterion = "alpha", alpha = c(0.2, 0.05),
type.test = "Chisq", num.resamples = 50, type.resampling = "subsampling")

pie.abe(fit.resample, alpha = 0.2, tau = 0.1)

abe documentation built on April 12, 2025, 1:54 a.m.