| lmList {nlme} | R Documentation |
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.
lmList(object, data, level, subset, na.action, pool) ## S3 method for class 'lmList': update(object, formula., ..., evaluate = TRUE) ## S3 method for class 'lmList': print(x, pool, ...)
object |
For lmList,
either a linear formula object of the form y ~ x1+...+xn | g
or a groupedData object. 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. The
grouping factor g may be omitted from the formula, in which
case the grouping structure will be obtained from data, which
must inherit from class groupedData. The method function
lmList.groupedData is documented separately.
For the method update.lmList, object is an object
inheriting from class lmList.
|
formula |
(used in update.lmList only)
a two-sided linear formula with the common model for the individuals
lm fits.
|
formula. |
Changes to the formula – see update.formula for
details. |
data |
a data frame in which to interpret the variables named in
object.
|
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 NAs. 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 indicating whether a pooled estimate of the residual standard error should be used in calculations of standard deviations or standard errors for summaries. |
x |
an object inheriting from class lmList to be printed. |
... |
some methods for this generic require additional arguments. None are used in this method. |
evaluate |
If TRUE evaluate the new call else return the call. |
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.
Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer.
lm,
lme.lmList,
plot.lmList,
pooledSD,
predict.lmList,
residuals.lmList,
summary.lmList
fm1 <- lmList(distance ~ age | Subject, Orthodont) summary(fm1)