Description Usage Arguments Details Value Author(s) See Also Examples
Calculate pairwise Pearson correlational distances, i.e. 1-COR or 1-|COR|, and saves as a 'dist' object
1 |
x |
n by p matrix or ExpressionSet; if x is an ExpressionSet, then the function uses its 'exprs' slot. |
... |
arguments passed to
|
The cor
function is used to compute the pairwise distances between rows
of an input matrix, except if the input is an object of a class that extends
eSet and sample
is TRUE
.
Pairwise Pearson correlational distance object
Beiying Ding
spearman.dist
, tau.dist
,euc
,
man
, KLdist.matrix
, KLD.matrix
,
mutualInfo
1 2 |
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, basename, cbind, colMeans, colSums, colnames,
dirname, 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")'.
Loading required package: KernSmooth
KernSmooth 2.23 loaded
Copyright M. P. Wand 1997-2009
1 2 3 4
2 0.9467802
3 0.7721057 0.9792828
4 0.9643140 0.9028227 0.7762623
5 0.8803607 0.9169750 0.6741129 0.8197732
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.