rbind.mids {mice} | R Documentation |
Append mids
objects by rows
rbind.mids(x,y,...)
x |
A |
y |
A |
... |
Dataframes, matrices, vectors or factors. These can be given as named arguments. |
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.
call |
A vector, with first argument the |
data |
The rowwise combination of the (incomplete) data in |
m |
|
nmis |
An array containing the number of missing observations per column,
defined as |
imp |
A list of |
method |
A vector of strings of |
predictorMatrix |
A square matrix of size |
visitSequence |
The sequence in which columns are visited, defined as |
seed |
The seed value of the solution, |
iteration |
Last Gibbs sampling iteration number, |
lastSeedValue |
The most recent seed value, |
chainMean |
Set to |
chainVar |
Set to |
pad |
|
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/