lm
object in the object
list are
extracted and organized into a data frame, with rows corresponding to
the lm
components and columns corresponding to the
coefficients. Optionally, the returned data frame may be augmented
with covariates summarized over the groups associated with the
lm
components.# S3 method for lmList
coef(object, augFrame, data, which, FUN,
omitGroupingFactor, …)
"lmList"
, representing
a list of lm
objects with a common model.
TRUE
, the returned
data frame is augmented with variables defined in the data frame used
to produce object
; else, if FALSE
, only the coefficients
are returned. Defaults to FALSE
.
augFrame =
TRUE
. Defaults to the data frame used to fit object
.object
should be used in the augmentation of the returned data
frame. Defaults to all variables in the data.
FUN
is a
single function it will be applied to each non-invariant variable by
group to produce the summary for that variable. If FUN
is a
list of functions, the names in the list should designate classes of
variables in the frame such as ordered
, factor
, or
numeric
. The indicated function will be applied to any
group-varying variables of that class. The default functions to be
used are mean
for numeric factors, and Mode
for both
factor
and ordered
. The Mode
function, defined
internally in gsummary
, returns the modal or most popular
value of the variable. It is different from the mode
function
that returns the S-language mode of the variable.
TRUE
the grouping factor itself will be omitted from the group-wise
summary of data
but the levels of the grouping factor will
continue to be used as the row names for the returned data frame.
Defaults to FALSE
.
"coef.lmList"
with the estimated
coefficients for each "lm"
component of object
and,
optionally, other covariates summarized over the groups corresponding
to the "lm"
components. The returned object also inherits from
classes "ranef.lmList"
and "data.frame"
.lmList
, fixed.effects.lmList
,
ranef.lmList
,
plot.ranef.lmList
, gsummary
fm1 <- lmList(distance ~ age|Subject, data = Orthodont)
coef(fm1)
coef(fm1, augFrame = TRUE)
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