Description Usage Arguments Details Value Author(s) See Also Examples
Wrapper function for imputation methods based on nearest neighbour clustering. Currently llsImpute only.
1 |
object |
Numerical matrix with (or an object coercible to
such) with samples in rows and variables as columns. Also takes
|
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. |
This method is wrapper function to llsImpute, See documentation
for link{llsImpute}
.
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
1 2 | data(metaboliteData)
llsRes <- nni(metaboliteData, k=6, method="llsImpute", allGenes=TRUE)
|
Loading required package: Biobase
Loading required package: BiocGenerics
Loading required package: parallel
Attaching package: 'BiocGenerics'
The following objects are masked from 'package:parallel':
clusterApply, clusterApplyLB, clusterCall, clusterEvalQ,
clusterExport, clusterMap, parApply, parCapply, parLapply,
parLapplyLB, parRapply, parSapply, parSapplyLB
The following objects are masked from 'package:stats':
IQR, mad, sd, var, xtabs
The following objects are masked from 'package:base':
Filter, Find, Map, Position, Reduce, anyDuplicated, append,
as.data.frame, cbind, colMeans, colSums, colnames, do.call,
duplicated, eval, evalq, get, grep, grepl, intersect, is.unsorted,
lapply, lengths, mapply, match, mget, order, paste, pmax, pmax.int,
pmin, pmin.int, rank, rbind, rowMeans, rowSums, rownames, sapply,
setdiff, sort, table, tapply, union, unique, unsplit, which,
which.max, which.min
Welcome to Bioconductor
Vignettes contain introductory material; view with
'browseVignettes()'. To cite Bioconductor, see
'citation("Biobase")', and for packages 'citation("pkgname")'.
Attaching package: 'pcaMethods'
The following object is masked from 'package:stats':
loadings
Warning message:
In llsImpute(object, ...) :
Cluster size larger than number of complete genes, using allVariables = TRUE
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