lmList {lme4} | 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(formula, data, level, subset, na.action, pool)
formula |
For lmList ,
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. 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 .
|
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 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.
|
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.
data(Orthodont) fm1 <- lmList(distance ~ age | Subject, Orthodont) fm1