lmList.groupedData {nlme}  R Documentation 
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.
## S3 method for class 'groupedData': lmList(object, data, level, subset, na.action, pool)
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.

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.
groupedData
, lm
, lme.lmList
,
lmList.formula
fm1 < lmList(Orthodont) summary(fm1)