R: List of lm Objects with a Common Model

lmList {lme4}

R Documentation

List of lm Objects with a Common Model

Description

The data argument is split according to the levels of the grouping factor g and individual lm or glm fits are obtained for each data partition, using the model defined in object.

Usage

lmList(formula, data, family, subset, weights,
       na.action, offset, pool, ...)

Arguments

`formula`	a linear formula object of the form `y ~ x1+...+xn \| g`. In the formula object, `y` represents the response, `x1,...,xn` the covariates, and `g` the grouping factor specifying the partitioning of the data according to which different `lm` fits should be performed.
`data`	a data frame in which to interpret the variables named in `object`.
`family`	an optional family specification for a generalized linear model.
`weights`	an optional vector of weights to be used in the fitting process.
`subset`	an optional vector specifying a subset of observations to be used in the fitting process.
`na.action`	a function which indicates what should happen when the data contain `NA`s. The default is set by the `na.action` setting of `options`, and is `na.fail` if that is unset. The “factory-fresh” default is `na.omit`.
`offset`	this can be used to specify an a priori known component to be included in the linear predictor during fitting.
`pool`	an optional logical value that is preserved as an attribute of the returned value. This will be used as the default for `pool` in calculations of standard deviations or standard errors for summaries.
`...`	optional arguments to be passed to the model-fitting function.

Value

an object of class "lmList", which is a list of lm objects with as many components as the number of groups defined by the grouping factor.

Examples

(fm1 <- lmList(Reaction ~ Days | Subject, sleepstudy))