# lmList

From lme4 v0.99875-2
by Douglas Bates

##### List of lm Objects with a Common Model

`Data`

is partitioned according to the levels of the grouping
factor `g`

and individual `lm`

fits are obtained for each
`data`

partition, using the model defined in `object`

.

- Keywords
- models

##### Usage

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

##### Arguments

- formula
- For
`lmList`

, 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 speci - 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 - 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.

##### See Also

##### Examples

`(fm1 <- lmList(breaks ~ wool | tension, warpbreaks))`

*Documentation reproduced from package lme4, version 0.99875-2, License: GPL version 2 or later*

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