rsm: model.data – R documentation

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model.data

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

References

Lenth RV (2009) “Response-Surface Methods in R, Using rsm”, Journal of Statistical Software, 32(7), 1–17. https://www.jstatsoft.org/v32/i07/.

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)

rsm

Response-Surface Analysis

v2.10.2

GPL (>= 2)

Authors

Russell Lenth [aut, cre]

Initial release

2020-09-03