plot.boodd {boodd}R Documentation

Plot an Object of Class boodd

Description

Plots histograms or density estimates for objects of class boodd, which are returned by bootstrap functions such as boots, bootsemi, blockboot, regenboot, etc.

Usage

## S3 method for class 'boodd'
plot(x, with.density = TRUE, which, byrow = FALSE, ...)

Arguments

x

An object of class boodd.

with.density

Logical value indicating whether to plot the estimated density of the bootstrap distribution (default is TRUE).

which

Specifies which columns of the data to plot.

byrow

Logical value indicating whether to display the matrix of histograms by row. By default it is FALSE.

...

Optional additional arguments for the plot function.

Details

The function plot.boodd plots histograms or density estimates of the output data contained in an object of class boodd. When the data have more than one column, the function can display a matrix of (at most 6) histograms. The argument which allows the selection of specific columns to plot, while byrow controls the layout of the matrix display.

Value

The function returns an invisible list containing the output of the hist function. In the case of multiple histograms, it returns a list of lists.

References

Bertail, P. and Dudek, A. (2025). Bootstrap for Dependent Data, with an R package (by Bernard Desgraupes and Karolina Marek) - submitted.

Efron, B., Tibshirani, R. (1993). An Introduction to the Bootstrap, Chapman and Hall.

See Also

confint.boodd, summary.boodd, class.boodd.

Examples

B <- 299
x <- round(rnorm(15),3)
boo1 <- boots(x, mean, B)
plot(boo1)

# Bootstrap of several statistics 
mv <- function(data) {c(mean(data), var(data))} # compute both mean and variance
boo2 <- boots(x, mv, B)
plot(boo2)

[Package boodd version 0.1 Index]