R: Extract lmList Coefficients

coef.lmList {nlme}

R Documentation

Extract lmList Coefficients

Description

The coefficients of each lm object in the object list are extracted and organized into a data frame, with rows corresponding to the lm components and columns corresponding to the coefficients. Optionally, the returned data frame may be augmented with covariates summarized over the groups associated with the lm components.

Usage

## S3 method for class 'lmList':
coef(object, augFrame, data, which, FUN,
   omitGroupingFactor, ...)

Arguments

`object`	an object inheriting from class `lmList`, representing a list of `lm` objects with a common model.
`augFrame`	an optional logical value. If `TRUE`, the returned data frame is augmented with variables defined in the data frame used to produce `object`; else, if `FALSE`, only the coefficients are returned. Defaults to `FALSE`.
`data`	an optional data frame with the variables to be used for augmenting the returned data frame when `augFrame = TRUE`. Defaults to the data frame used to fit `object`.
`which`	an optional positive integer or character vector specifying which columns of the data frame used to produce `object` should be used in the augmentation of the returned data frame. Defaults to all variables in the data.
`FUN`	an optional summary function or a list of summary functions to be applied to group-varying variables, when collapsing the data by groups. Group-invariant variables are always summarized by the unique value that they assume within that group. If `FUN` is a single function it will be applied to each non-invariant variable by group to produce the summary for that variable. If `FUN` is a list of functions, the names in the list should designate classes of variables in the frame such as `ordered`, `factor`, or `numeric`. The indicated function will be applied to any group-varying variables of that class. The default functions to be used are `mean` for numeric factors, and `Mode` for both `factor` and `ordered`. The `Mode` function, defined internally in `gsummary`, returns the modal or most popular value of the variable. It is different from the `mode` function that returns the S-language mode of the variable.
`omitGroupingFactor`	an optional logical value. When `TRUE` the grouping factor itself will be omitted from the group-wise summary of `data` but the levels of the grouping factor will continue to be used as the row names for the returned data frame. Defaults to `FALSE`.
`...`	some methods for this generic require additional arguments. None are used in this method.

Value

a data frame inheriting from class coef.lmList with the estimated coefficients for each lm component of object and, optionally, other covariates summarized over the groups corresponding to the lm components. The returned object also inherits from classes ranef.lmList and data.frame.

Author(s)

Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates bates@stat.wisc.edu

References

Pinheiro, J. C. and Bates, D. M. (2000), Mixed-Effects Models in S and S-PLUS, Springer, New York, esp. pp. 457-458.

Examples

fm1 <- lmList(distance ~ age|Subject, data = Orthodont)
coef(fm1)
coef(fm1, augFrame = TRUE)

[Package nlme version 3.1-78 Index]