mi.completed {mi}R Documentation

Multiple Imputed Dataframes

Description

Function to return completed data set from result of mi program.

Usage

## S4 method for signature 'mi':
mi.completed(object)
## S4 method for signature 'mi':
mi.data.frame(object, m = 1)

Arguments

object mi object containing a multiply imputed data set. The mi object is generated by the mi function.
m Index of the imputed data set. The default is 1.

Value

A data set or a list of datasets with the missing data imputed.

Author(s)

Yu-Sung Su ys463@columbia.edu Masanao Yajima yajima@stat.columbia.edu, Andrew Gelman gelman@stat.columbia.edu

References

Andrew Gelman and M. Grazia Pittau. “A flexible program for missing-data imputation and model checking”. Technical report. Columbia University, New York;

Andrew Gelman and Jennifer Hill. (2007). Data Analysis Using Regression and Multilevel/Hierarchical Models. Cambridge University Press.

See Also

mi

Examples

  data(CHAIN)
  imp <- mi (CHAIN, n.iter=6)
  # get all imputed dataset
  imputed.matrix <- mi.completed (imp)  
  # get the 3rd chain of the imputed dataset
  imputed.data.frame <- mi.data.frame(imp, m=3) 

[Package mi version 0.04-6 Index]