pcor

data_x

NULL or second double precision 2D array of data

data_y

boolean, whether the distance or correlation coefficient
                    matrix is returned

distance

string, either "mmeachflush" or "mmnoflush" select the 
                    back-end caching scheme

caching_

filename_


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.<p></p><p>N.B. Please see the SPRINT User Guide for how to run the code in parallel 
using the mpiexec command.
</p>

utilities

interface

SPRINT (Simple Parallel R INTerface) is a parallel
framework for R. It provides a High Performance Computing (HPC)
harness which allows R scripts to run on HPC clusters. SPRINT
contains a library of selected R functions that have been
parallelized. Functions are named after the original R function
with the added prefix 'p', i.e. the parallel version of cor()
in SPRINT is called pcor(). Call to the parallel R functions
are included directly in standard R scripts.
SPRINT contains functions for correlation (pcor), partitioning around medoids (ppam),
apply (papply), permutation testing (pmaxT), bootstrapping (pboot), random forest (prandomForest),
rank product (pRP) and hamming distance (pstringdistmatrix).

pcor: Parallel Correlation

Description

Usage

Arguments

Value

See Also