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 groupedData
lmList(object, data, level, subset, na.action = na.fail,
pool = TRUE, warn.lm = TRUE)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.
a data frame inheriting from class "groupedData".
this argument is included for consistency with the generic function. It is ignored in this method function.
an optional integer specifying the level of grouping to be used when multiple nested levels of grouping are present.
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.
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.
optional logicals, see lmList.
groupedData, lm,
lme.lmList, lmList,
lmList.formula
fm1 <- lmList(Orthodont)
summary(fm1)
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