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sprint (version 1.0.7)

Simple Parallel R INTerface

Description

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).

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Version

Install

install.packages('sprint')

Monthly Downloads

65

Version

1.0.7

License

GPL (>= 3)

Maintainer

Eilidh Troup

Last Published

September 29th, 2014

Functions in sprint (1.0.7)

About SPRINT

Overview of SPRINT
pmaxT

Ajusted p-values for step down multiple testing
pRPadvance

pRPadvance
papply

Parallel Apply
ppam

Parallel Partitioning Around Medoids
pcombine

pcombine
reset.rng

reset.rng
pterminate

SPRINT close
pRP

Parallel Rank Product
ptest

SPRINT Installation Test
pRSadvance

pRSadvance
pRS

pRS
prandomForest

Parallel random forest generation
init.rng

init.rng
pcor

Parallel Correlation
pboot

Parallel Bootstrapping
pstringdistmatrix

Parallel compute hamming distance between strings