| mutualInfo {bioDist} | R Documentation |
Calculate mutual information via binning
mutualInfo(x, ...) MIdist(x, ...)
x |
an n by p matrix or ExpressionSet; if x is an ExpressionSet, the function uses its 'exprs' slot |
... |
arguments passed to mutualInfo and MIdist:
|
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 1-delta*. 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, 157-164.
dist, KLdist.matrix,
cor.dist, KLD.matrix
x <- matrix(rnorm(100),nrow=5) mutualInfo(x, nbin=3)