Description Usage Arguments Details Value Author(s) References See Also Examples
Calculate mutual information via binning
1 2  mutualInfo(x, ...)
MIdist(x, ...)

x 
an n by p matrix or ExpressionSet; if x is an ExpressionSet, then the function uses its 'exprs' slot. 
... 
arguments passed to

For mutualInfo
each row of x
is divided into
nbin
groups and then the mutual information is computed, treating
the data as if they were discrete.
For MIdist
we use the transformation proposed by Joe (1989),
delta* = (1  exp(2 delta))^.5
where delta is the mutual information. The MIdist
is
then 1delta*. Joe argues that this measure is then
similar to Kendall's tau, tau.dist
.
An object of class dist
which contains the pairwise distances.
Robert Gentleman
H. Joe, Relative Entropy Measures of Multivariate Dependence, JASA, 1989, 157164.
dist
, KLdist.matrix
,
cor.dist
, KLD.matrix
1 2  x < matrix(rnorm(100), nrow = 5)
mutualInfo(x, nbin = 3)

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