mergeitmice: Merges Imputed Datasets with Dataframes
In 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 'dt.osa' and 'dt.osp' datasets
data(dt.osa)
data(dt.osp)

#Imputing missing data points in the'dt.osa' dataset
datasets <- mice(dt.osa, m = 5, maxit = 1,
                 method = c("", "", "mean", "", "polyreg", "logreg", "logreg"))

#Matching the imputed datasets, 'datasets'
matcheddatasets <- matchitmice(KOA ~ SEX + AGE + SMK, datasets,
                               approach = 'within', method = 'exact')

#Merging the dataframe, 'dt.osp', with each imputed dataset of the 'matcheddatasets' object
matcheddatasets <- mergeitmice(matcheddatasets, dt.osp, by = "IDN")