mitml (version 0.4-5)

mitmlComplete: Extract imputed data sets

Description

This function extracts imputed data sets from mitml class objects as produced by panImpute and jomoImpute.

Usage

mitmlComplete(x, print = "all", force.list = FALSE)

Value

Usually a list of imputed data with class mitml.list

If only one data set is extracted: a data frame unless force.list = TRUE.

Arguments

x

An object of class mitml as produced by panImpute or jomoImpute.

print

Either an integer vector, "list", or "all" denoting which data sets to extract. If set to "list" or "all", all imputed data sets will be returned as a list. Negative values and zero return the original (incomplete) data set. Default is "all".

force.list

(optional) Logical flag indicating if single data sets should be enclosed in a list. Default is FALSE.

Author

Simon Grund

See Also

panImpute, jomoImpute

Examples

data(studentratings)

fml <- ReadDis + SES ~ ReadAchiev + (1|ID)
imp <- panImpute(studentratings, formula = fml, n.burn = 1000, n.iter = 100, m = 5)

# extract original (incomplete) data set
mitmlComplete(imp, print = 0)

# extract first imputed data set (returned as mitml.list)
mitmlComplete(imp, print = 1, force.list = TRUE)

# extract all imputed data sets at once
implist <- mitmlComplete(imp, print = "all")

if (FALSE) {
# ... alternatives with same results
implist <- mitmlComplete(imp, print = 1:5)
implist <- mitmlComplete(imp, print = "list")
}