The difference between the individual lm components
coefficients and their average is calculated.
# S3 method for lmList
ranef(object, augFrame, data, which, FUN, standard,
omitGroupingFactor, …)an object inheriting from class "lmList", representing
a list of lm objects with a common model.
an optional logical value. If TRUE, the returned
data frame is augmented with variables defined in data; else,
if FALSE, only the coefficients are returned. Defaults to
FALSE.
an optional data frame with the variables to be used for
augmenting the returned data frame when augFrame =
TRUE. Defaults to the data frame used to fit object.
an optional positive integer vector specifying which
columns of data should be used in the augmentation of the
returned data frame. Defaults to all columns in data.
an optional summary function or a list of summary functions
to be applied to group-varying variables, when collapsing data
by groups. Group-invariant variables are always summarized by the
unique value that they assume within that group. If 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.
an optional logical value indicating whether the
estimated random effects should be "standardized" (i.e. divided by
the corresponding estimated standard error). Defaults to
FALSE.
an optional logical value. When 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.
some methods for this generic require additional arguments. None are used in this method.
a vector with the differences between the individual lm
coefficients in object and their average.
Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S and S-PLUS", Springer, esp. pp. 100, 461.
# NOT RUN {
fm1 <- lmList(distance ~ age | Subject, Orthodont)
ranef(fm1)
random.effects(fm1) # same as above
# }
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