nni {pcaMethods} | R Documentation

## Nearest neighbour imputation

### Description

Wrapper function for imputation methods based on nearest neighbour clustering. Currently llsImpute only.

### Usage

    nni(object, method = c("llsImpute"), subset = numeric(), ...)

### Arguments

`object` | Numerical matrix with (or an object coercible to such) with samples in rows and variables as columns. Also takes `ExpressionSet` in which case the transposed expression matrix is used.
`method` | For convenience one can pass a large matrix but only use the variable specified as subset. Can be colnames or indices.
`subset` | Currently "llsImpute" only.
`...` | Further arguments to the chosen method.

### Details

This method is wrapper function to llsImpute, See documentation for `link{llsImpute}`.

### Value

A `clusterRes` object. Or a list containing a clusterRes object as first and an ExpressionSet object as second entry if the input was of type ExpressionSet.

### Author(s)

Wolfram Stacklies

### See Also

`llsImpute`, `pca`

### Examples

    data(metaboliteData)
    llsRes <- nni(metaboliteData, k=6, method="llsImpute", allGenes=TRUE)

[Package pcaMethods version 1.72.0 Index]