knn_impute {structToolbox} | R Documentation

## knn missing value imputation

### Description

Applies a k-nearest neighbour approach to impute missing values.

### Usage

    knn_impute(
      neighbours = 5,
      sample_max = 50,
      feature_max = 50,
      by = "features",
      ...
    )

### Arguments

`neighbours` | The number of neighbours to use for imputation.
`sample_max` | Maximum percentage of missing values in any sample. Default = 50.
`feature_max` | Maximum percentage of missing values in any feature. Default = 50.
`by` | Impute by similar "samples" or "features". Default = "features".
`...` | additional slots and values passed to struct_class

### Value

struct object

### Examples

    M = knn_impute()

[Package structToolbox version 1.0.1 Index]