mi.completed: Multiply Imputed Dataframes
In mi: Missing Data Imputation and Model Checking

Description Usage Arguments Value Author(s) References See Also Examples

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

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

`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.

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

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

Yu-Sung Su, Andrew Gelman, Jennifer Hill, Masanao Yajima. Forthcoming. “Multiple Imputation with Diagnostics (mi) in R: Opening Windows into the Black Box”. Journal of Statistical Software.

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

mi

  #data(CHAIN)
  #IMP <- mi (CHAIN, n.iter=6, add.noise=FALSE)
  ### 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)

Loading required package: Matrix
Loading required package: stats4
mi (Version 1.0, packaged: 2015-04-16 14:03:10 UTC; goodrich)
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