samples: Extract sampling distributions from bootstrapped linear/loess...

In simpleboot: Simple Bootstrap Routines

Extract sampling distributions from bootstrapped linear/loess models.

Description

Extract sampling distributions of various entities from either a linear model or a loess bootstrap. Entities for linear models are currently, model coefficients, residual sum of squares, R-square, and fitted values (given a set of X values in the original bootstrap). For loess, one can extract residual sum of squares and fitted values.

Usage

samples(object, name = c("fitted", "coef", "rsquare", "rss"))

Arguments

object	The output from either lm.boot or loess.boot.
name	The name of the entity to extract. The default is fitted values.

Value

Either a vector or matrix depending on the entity extracted. For example, when extracting the sampling distributions for linear model coefficents, the return value is p x R matrix where p is the number of coefficients and R is the number of bootstrap replicates.

Author(s)

Roger D. Peng

Examples

data(airquality)
attach(airquality)
lmodel <- lm(Ozone ~ Solar.R + Wind)
lboot <- lm.boot(lmodel, R = 100)

## Get sampling distributions for coefficients
s <- samples(lboot, "coef")

## Histogram for the intercept
hist(s[1,])

simpleboot documentation built on Sept. 11, 2024, 6:21 p.m.