mice (version 3.5.0)

cbind.mids: Combine mids objects by columns

Description

This function combines two mids objects columnwise into a single object of class mids, or combines a single mids object with a vector, matrix, factor or data.frame columnwise into a mids object.

Usage

cbind.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

Pre-requisites: If y is a mids-object, the rows of x$data and y$data should match, as well as the number of imputations (m). Other y are transformed into a data.frame whose rows should match with x$data.

The function renames any duplicated variable or block names by appending ".1", ".2" to duplicated names.

See Also

cbind, 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)
imp4 <- cbind(imp3, chl = nhanes$chl)

# Of course, chl was not imputed
head(complete(imp4))

# Combine mids object with data frame
imp5 <- cbind(imp3, nhanes2)
head(complete(imp5))
# }