mice (version 2.46.0)

cbind.mids: Columnwise combination of a mids object.

Description

Append mids objects by columns

Usage

# S3 method for mids
cbind(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

This function combines two mids objects columnwise into a single object of class mids, or combines a mids object with a vector, matrix, factor or data.frame columnwise into a mids object. The rows in the (incomplete) data x$data and y (or y$data if y is a mids object) should match. If y is a mids, then cbind only works if the number of imputations in x and y is equal.

See Also

rbind.mids, ibind, mids

Examples

# NOT RUN {
# impute four variables at once (default)
imp <- mice(nhanes, m = 1, maxit = 1, print = FALSE)
imp$predictorMatrix

# impute two by two
data1 <- nhanes[, c("age", "bmi")]
data2 <- nhanes[, c("hyp", "chl")]
imp1 <- mice(data1, m = 2, maxit = 1, print = FALSE)
imp2 <- mice(data2, m = 2, maxit = 1, print = FALSE)

# Append two solutions
imp12 <- cbind(imp1, imp2)

# This is a different imputation model
imp12$predictorMatrix

# Append the other way around
imp21 <- cbind(imp2, imp1)
imp21$predictorMatrix

# Append 'forgotten' variable chl
data3 <- nhanes[, 1:3]
imp3  <- mice(data3, maxit = 1,m = 2, print = FALSE)
imp3a <- cbind(imp3, chl = nhanes$chl)

# Of course, chl was not imputed
head(complete(imp3a))

# Note: If one of the arguments is a data.frame 
# we need to explicitly call mice:::cbind.mids()
imp3b <- mice:::cbind.mids(imp3, data.frame(chl = nhanes$chl))
# }