nni: Nearest neighbour imputation

In hredestig/pcaMethods: A collection of PCA methods

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)

hredestig/pcaMethods documentation built on Sept. 30, 2023, 10:38 a.m.