lmList {lme4} | R Documentation |
The data
argument is split according to the levels of the grouping
factor g
and individual lm
or glm
fits are
obtained for each data
partition, using the model defined in
object
.
lmList(formula, data, family, subset, weights, na.action, offset, pool, ...)
formula |
a linear formula object of the form
|
data |
a data frame in which to interpret the variables named in
|
family |
an optional family specification for a generalized linear model. |
weights |
an optional vector of weights to be used in the fitting process. |
subset |
an optional vector specifying a subset of observations to be used in the fitting process. |
na.action |
a function which indicates what should happen
when the data contain |
offset |
this can be used to specify an a priori known component to be included in the linear predictor during fitting. |
pool |
an optional logical value that is preserved as an attribute
of the returned value. This will be used as the default for
|
... |
optional arguments to be passed to the model-fitting function. |
an object of class "lmList"
, which is a list of
lm
objects with as many components as the number of groups
defined by the grouping factor.
(fm1 <- lmList(Reaction ~ Days | Subject, sleepstudy))