nni {pcaMethods} | R Documentation |
Wrapper function for imputation methods based on nearest neighbour clustering. Currently llsImpute only.
nni(object, method=c("llsImpute"), subset=numeric(),...)
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. |
subset |
For convenience one can pass a large matrix but only use the variable specified as subset. Can be colnames or indices. |
method |
Currently "llsImpute" only. |
... |
Further arguments to the chosen method. |
This method is wrapper function to llsImpute, See documentation for link{llsImpute}
Extra arguments usually given to this function include:
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.
Wolfram Stacklies
data(metaboliteData) llsRes <- nni(metaboliteData, k=6, method="llsImpute", allGenes=TRUE)