Calculates a Similarity Matrix for a Set of Fingerprints
Description
Given a set of fingerprints, a pairwise similarity can be calculated using the
various distance metrics defined for binary strings. This function calculates
the pairwise similarity matrix for a set of fingerprint
objectssupplied in a list
structure. Any of the distance metrics provided by distance
can be used and the
default is the Tanimoto metric.
Note that if the the Euclidean distance is specified then the resultant matrix is a distance matrix and not a similarity matrix
Usage
1  fp.sim.matrix(fplist, method='tanimoto')

Arguments
fplist 
A list structure with each element being an object of class

method 
The type of distance metric to use. Alternatives are 
Value
A matrix with dimensions equal to (length(fplist), length(fplist))
Author(s)
Rajarshi Guha rguha@indiana.edu
See Also
distance
, fp.read
Examples
1 2 3 4 5 6 
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker. Vote for new features on Trello.