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Internal utility function.
● Data Source:
CranContrib
● Keywords:
● Alias: pRSadvance
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Function which indicates the end of the use of the SPRINT library. It terminates the use of MPI and shut down the SPRINT library. It must be used with every script that invokes the SPRINT package.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: pterminate
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SPRINT (Simple Parallel R INTerface) is a parallel framework for R. It provides a High Performance Computing (HPC) harness which allow 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(). These parallelized functions are written in C and MPI. Call to these functions are included directly in standard R scripts.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: SPRINT
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pstringdistmatrix
(Package: sprint) :
Parallel compute hamming distance between strings
Calculates the hamming distance matrix between strings.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: pstringdistmatrix
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pboot
(Package: sprint) :
Parallel Bootstrapping
pboot() generates R bootstrap replicates of a statistic applied to data. It implements a parallel version of the bootstrapping method boot() from the boot R package.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: pboot
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Internal utility function.
● Data Source:
CranContrib
● Keywords:
● Alias: pRS
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pcor
(Package: sprint) :
Parallel Correlation
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.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: pcor
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ppam
(Package: sprint) :
Parallel Partitioning Around Medoids
Parallel implementation of the Partitioning Around Medoids algorithm, based on the cluster "pam" serial function.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: ppam
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prandomForest
(Package: sprint) :
Parallel random forest generation
The machine learning function prandomForest() is an ensemble tree classifier that constructs a forest of classification trees from bootstrap samples of a dataset in parallel. The random forest algorithm can be used to classify both categorical and continuous variables. This function provides a parallel equivalent to the serial randomForest() function from the randomForest package. Note that the randomForest library must be loaded before calling the prandomForest function. library("randomForest")
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: prandomForest, prandomForest.default
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ptest
(Package: sprint) :
SPRINT Installation Test
Function that test the correct installation of the SPRINT library. It simply prints a message identifying each processor in the compute cluster.
● Data Source:
CranContrib
● Keywords: interface, utilities
● Alias: ptest
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providing 
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