mice (version 3.4.0)

rbind.mids: Combine mids objects by rows

Description

This function combines two mids objects rowwise into a single mids object, or combines a mids object with a vector, matrix, factor or dataframe rowwise into a mids object.

Usage

rbind.mids(x, y = NULL, ...)

Arguments

x

A mids object.

y

A mids object, or a data.frame, matrix, factor or vector.

…

Additional data.frame, matrix, vector or factor. These can be given as named arguments.

Value

An S3 object of class mids

Details

If y is a mids object, then rbind requires that the number of multiple imputations in x and y is identical. Also, columns of x$data and y$data should match.

If y is not a mids object, the columns of x$data and y should match. The where matrix for y is set to FALSE, signaling that any missing values in y were not imputed.

References

van Buuren S and Groothuis-Oudshoorn K (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3), 1-67. https://www.jstatsoft.org/v45/i03/

See Also

cbind.mids, ibind, mids

Examples

# NOT RUN {
imp1 <- mice(nhanes[1:13, ], m = 2, maxit = 1, print = FALSE)
imp5 <- mice(nhanes[1:13, ], m = 2, maxit = 2, print = FALSE)
mylist <- list(age = NA, bmi = NA, hyp = NA, chl = NA)

nrow(complete(rbind(imp1, imp5)))
nrow(complete(rbind(imp1, mylist)))

nrow(complete(rbind(imp1, data.frame(mylist))))
nrow(complete(rbind(imp1, complete(imp5))))
# }