R: Imputation by simple random sampling

mice.impute.sample {mice} | R Documentation

## Imputation by simple random sampling

### Description

Imputes a random sample from the observed `y` data

### Usage

    mice.impute.sample(y, ry, x = NULL, wy = NULL, ...)

### Arguments

`y` | Vector to be imputed
`ry` | Logical vector of length `length(y)` indicating the the subset `y[ry]` of elements in `y` to which the imputation model is fitted. The `ry` generally distinguishes the observed (`TRUE`) and missing values (`FALSE`) in `y`.
`x` | Numeric design matrix with `length(y)` rows with predictors for `y`. Matrix `x` may have no missing values.
`wy` | Logical vector of length `length(y)`. A `TRUE` value indicates locations in `y` for which imputations are created.
`...` | Other named arguments.

### Details

This function takes a simple random sample from the observed values in `y`, and returns these as imputations.

### Value

Vector with imputed data, same type as `y`, and of length `sum(wy)`

### Author(s)

Stef van Buuren, Karin Groothuis-Oudshoorn, 2000, 2017

### References

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

[Package mice version 3.13.0 Index]