Calculate pairwise Pearson correlational distances, i.e. 1-COR or 1-|COR|,
and saves as a 'dist' object
Usage
cor.dist(x, ...)
Arguments
x
n by p matrix or ExpressionSet; if x is an ExpressionSet, then the
function uses its 'exprs' slot.
...
arguments passed to cor.dist:
absif TRUE, then 1-|COR| else 1-COR, default is TRUE.
diagif TRUE, then the diagonal of the distance matrix will be
displayed, default is FALSE.
upperif TRUE, then the upper triangle of the distance matrix
will be displayed, default is FALSE.
samplefor objects of classes that extend eSet: if TRUE, then
distances are computed between samples(columns) , otherwise, they are
computed between features(rows).
Value
Pairwise Pearson correlational distance object
Details
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.