rbind.mids {mice} | R Documentation |
mids
object.Append mids
objects by rows
rbind.mids(x, y, ...)
x |
A |
y |
A |
... |
Additional |
This function combines two mids
objects rowwise into a single
mids
object or combines a mids
object and a vector, matrix,
factor or dataframe rowwise into a mids
object. The number of columns
in the (incomplete) data x$data
and y
(or y$data
if
y
is a mids
object) should be equal. If y
is a
mids
object then the number of imputations in x
and y
should be equal.
An S3 object of class mids
Component call
is a vector, with first argument the mice()
statement
that created x
and second argument the call to rbind.mids()
. Component
data
is the rowwise combination of the (incomplete) data in x
and y
.
Component m
is equal to x$m
.
Component nmis
is an array containing the number of missing observations per
column, defined as x$nmis
+ y$nmis
.
Component imp
is a list of nvar
components with the generated multiple
imputations. Each part of the list is a nmis[j]
by m
matrix of
imputed values for variable j
. If y
is a mids
object
then imp[[j]]
equals rbind(x$imp[[j]], y$imp[[j]])
; otherwise
the original data of y
will be copied into this list, including the
missing values of y
then y
is not imputed.
Component method
is a vector of strings of length(nvar)
specifying the
elementary imputation method per column defined as x$method
.
Component predictorMatrix
is a square matrix of size ncol(data)
containing the predictor set defined as
x$predictorMatrix
.
Component visitSequence
is the sequence in which columns are visited, defined
as x$visitSequence
.
Component seed
is the seed value of the solution, x$seed
.
Component iteration
is the last Gibbs sampling iteration number,
x$iteration
.
Component lastSeedValue
is the most recent seed value, x$lastSeedValue
Component chainMean
is set to NA
.
Component chainVar
is set to NA
.
Component pad
is set to x$pad
, a list containing various settings of the
padded imputation model, i.e. the imputation model after creating dummy
variables.
Component loggedEvents
is set to x$loggedEvents
.
Karin Groothuis-Oudshoorn, Stef van Buuren, 2009
van Buuren S and Groothuis-Oudshoorn K (2011). mice
:
Multivariate Imputation by Chained Equations in R
. Journal of
Statistical Software, 45(3), 1-67.
http://www.jstatsoft.org/v45/i03/