model.data {rsm}R Documentation

Reconstruct data from a linear model

Description

Create a data frame with just the variables in the formula in a lm object. This is comparable to model.matrix or model.frame except that factors, polynomials, transformations, etc. are not expanded.

Usage

model.data(lmobj, lhs = FALSE)

Arguments

lmobj An object returned by lm or one of its relatives.
lhs Boolean indicator of whether or not to include the variable(s) on the left-hand side of the model formula.

Details

This is an easy-to-use substitute for get_all_vars. The formula, data, and subset arguments, if present in lmobj's call, affect the result appropriately.

Value

A data frame containing each of the variables referenced in the model formula.

Author(s)

Russell V. Lenth

See Also

model.matrix, model.frame

Examples

library(rsm)
trees.lm = lm(log(Volume) ~ poly(log(Girth),3), data=trees, subset=1:20)
model.frame(trees.lm)
model.data(trees.lm)

[Package rsm version 1.11 Index]