Learn R Programming

simpleboot (version 1.1-7)

lm.simpleboot.methods: Methods for linear model bootstrap.

Description

Methods for "lm.simpleboot" class objects.

Usage

# S3 method for lm.simpleboot
summary(object, ...)
# S3 method for summary.lm.simpleboot
print(x, ...)
# S3 method for lm.simpleboot
fitted(object, ...)

Value

summary returns a list containing the original estimated coefficients and their bootstrap standard errors.

Arguments

object

An object of class "lm.simpleboot", as returned by lm.boot.

x

An object of class "summary.lm.simpleboot", a result of a call to summary.lm.simpleboot.

...

Other arguments passed to and from other methods.

Author

Roger D. Peng

Details

print is essentially the same as the usual printing of a linear model fit, except the bootstrap standard errors are printed for each model coefficient.

fitted returns the fitted values from each bootstrap sample for the predictor values specified by the new.xpts in lm.boot (or from the grid if new.xpts was not specified). This is a p x R matrix where p is the number of points where prediction was desired and R is the number of bootstrap samples specified. Using fitted is the equivalent of using samples(object, name = "fitted").

See Also

lm.boot.

Examples

Run this code
data(airquality)
attach(airquality)
lmodel <- lm(Ozone ~ Wind + Solar.R)
lboot <- lm.boot(lmodel, R = 300)
summary(lboot)

Run the code above in your browser using DataLab