Parallel Pearson's correlation. It either takes a 2D array as input and
correlates each row with every other row or takes two 2D arrays and correlates
the columns of the first matrix with the columns of the second matrix. The
output can either be the matrix of correlation coefficient or the distance
matrix.
N.B. Please see the SPRINT User Guide for how to run the code in parallel
using the mpiexec command.
boolean, whether the distance or correlation coefficient
matrix is returned
caching_
string, either "mmeachflush" or "mmnoflush" select the
back-end caching scheme
filename_
string, name of the result file
Value
An ff_matrix object. The results of a correlation computation can be very large and so SPRINT returns a file-backed ff_matrix object instead of a standard R matrix object.