R: Re-impute a data set

reimpute {mlr} | R Documentation

## Re-impute a data set

### Description

This function accepts a data frame or a task and an imputation description as returned by impute to perform the following actions:

1. Restore dropped columns, setting them to `NA`

2. Add dummy variables for columns as specified in `impute`

3. Optionally check factors for new levels to treat them as `NA`s

4. Reorder factor levels to ensure identical integer representation as before

5. Impute missing values using previously collected data

### Usage

    reimpute(obj, desc)

### Arguments

`obj` | (data.frame | Task) Input data.
`desc` | (`ImputationDesc`) Imputation description as returned by impute.

### Value

Imputated `data.frame` or task with imputed data.

### See Also

Other impute: `imputations`, `impute()`, `makeImputeMethod()`, `makeImputeWrapper()`

[Package mlr version 2.17.1 Index]