lmList {lme4} | R Documentation |
Data
is partitioned 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
y ~ x1+...+xn | g . 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. |
data |
a data frame in which to interpret the variables named in
object . |
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 NA s. The default is set by
the na.action setting of options , and is
na.fail if that is unset. The “factory-fresh”
default is na.omit . |
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
pool in calculations of standard deviations or standard errors
for summaries. |
... |
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))