# ibind: Enlarge number of imputations by combining 'mids' objects In mice: Multivariate Imputation by Chained Equations

## Description

This function combines two `mids` objects `x` and `y` into a single `mids` object, with the objective of increasing the number of imputed data sets. If the number of imputations in `x` and `y` are `m(x)` and `m(y)`, then the combined object will have `m(x)+m(y)` imputations.

## Usage

 `1` ```ibind(x, y) ```

## Arguments

 `x` A `mids` object. `y` A `mids` object.

## Details

The two `mids` objects are required to have the same underlying multiple imputation model and should be fitted on the same data.

## Value

An S3 object of class `mids`

## Author(s)

Karin Groothuis-Oudshoorn, Stef van Buuren

`mids`, `rbind.mids`, `cbind.mids`

## Examples

 ``` 1 2 3 4 5 6 7 8 9 10``` ```data(nhanes) imp1 <- mice(nhanes, m = 1, maxit = 2, print = FALSE) imp1\$m imp2 <- mice(nhanes, m = 3, maxit = 3, print = FALSE) imp2\$m imp12 <- ibind(imp1, imp2) imp12\$m plot(imp12) ```

### Example output

```Loading required package: lattice

Attaching package: 'mice'

The following objects are masked from 'package:base':

cbind, rbind

[1] 1
[1] 3
[1] 4
Warning messages:
1: In is.na(y) : is.na() applied to non-(list or vector) of type 'NULL'
2: In is.na(y) : is.na() applied to non-(list or vector) of type 'NULL'
3: In is.na(y) : is.na() applied to non-(list or vector) of type 'NULL'
4: In is.na(y) : is.na() applied to non-(list or vector) of type 'NULL'
```

mice documentation built on Nov. 14, 2020, 5:07 p.m.