mergeitmice: Merges Imputed Datasets with Dataframes
In FarhadPishgar/MatchIt.mice: Matching Multiply Imputed Datasets

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

The mergeitmice() function merges a dataframe with each imputed dataset of the mids, mimids, or wimids class objects based on the variables passed to the function as by.

1	mergeitmice(datasets, data, by = "ID")

`datasets`	This argument specifies an object of the `mids`, `mimids`, or `wimids` class.
`data`	This argument specifies a dataframe.
`by`	This argument specifies a variable name, present in bot `datasets` and `data`.

This functions can be used instead of the cbind() function (from the mice package).

This function returns an object of the mids, mimids, or wimids class after merging a dataframe with each imputed dataset of the inputted object.

Farhad Pishgar

Stef van Buuren and Karin Groothuis-Oudshoorn (2011). mice: Multivariate Imputation by Chained Equations in R. Journal of Statistical Software, 45(3): 1-67. https://www.jstatsoft.org/v45/i03/

matchitmice

weightitmice

binditmice

#Loading the dataset
data(dataset)

#Multiply imputing the missing values
imputed.datasets <- mice(dataset, m = 5, maxit = 10,
                         method = c("", "", "", "mean", "polyreg", "logreg", "logreg", "logreg"))

#Matching the multiply imputed datasets
matched.datasets <- matchitmice(OSP ~ AGE + SEX + BMI + RAC + SMK, imputed.datasets,
                                approach = 'within', method = 'nearest')

#Merging a dataframe with imputed datasets of the 'matched.datasets'
matched.datasets <- mergeitmice(matched.datasets, data, by = "IDN")