mitmlComplete: Extract imputed data sets

In mitml: Tools for Multiple Imputation in Multilevel Modeling

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)

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.

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.

Author(s)

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")

## Not run: 
# ... alternatives with same results
implist <- mitmlComplete(imp, print = 1:5)
implist <- mitmlComplete(imp, print = "list")

## End(Not run)

mitml documentation built on March 31, 2023, 7:01 p.m.