R: lmList Fit from a groupedData Object

lmList.groupedData {nlme} | R Documentation

## lmList Fit from a groupedData Object

### Description

The response variable and primary covariate in `formula(object)` are used to construct the linear model formula. This formula and the `groupedData` object are passed as the `object` and `data` arguments to `lmList.formula`, together with any other additional arguments in the function call. See the documentation on `lmList.formula` for a description of that function.

### Usage

    ## S3 method for class 'groupedData'
    lmList(object, data, level, subset, na.action, pool)

### Arguments

`object` | a data frame inheriting from class `"groupedData"`.
`data` | this argument is included for consistency with the generic function. It is ignored in this method function.
`level` | an optional integer specifying the level of grouping to be used when multiple nested levels of grouping are present.
`subset` | an optional expression indicating which subset of the rows of `data` should be used in the fit. This can be a logical vector, or a numeric vector indicating which observation numbers are to be included, or a character vector of the row names to be included. All observations are included by default.
`na.action` | a function that indicates what should happen when the data contain `NA`s. The default action (`na.fail`) causes `lmList` to print an error message and terminate if there are any incomplete observations.
`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.

### Value

a list of `lm` objects with as many components as the number of groups defined by the grouping factor. Generic functions such as `coef`, `fixed.effects`, `lme`, `pairs`, `plot`, `predict`, `random.effects`, `summary`, and `update` have methods that can be applied to an `lmList` object.

### See Also

`groupedData`, `lm`, `lme.lmList`, `lmList`, `lmList.formula`

### Examples

    fm1 <- lmList(Orthodont)
    summary(fm1)

[Package nlme version 3.1-118 Index]