This divides up 1:nx into ncl lists of approximately
equal size, as a way to allocate tasks to nodes in a cluster.
It is mainly for internal use, but some package authors have found it useful.
Usage
splitIndices(nx, ncl)
Arguments
nx
Number of tasks.
ncl
Number of cluster nodes.
Value
A list of length ncl, each element being an integer vector.
Examples
splitIndices(20, 3)
Results
R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)
R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.
R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.
Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.
> library(parallel)
> png(filename="/home/ddbj/snapshot/RGM3/R_rel/result/parallel/splitIndices.Rd_%03d_medium.png", width=480, height=480)
> ### Name: splitIndices
> ### Title: Divide Tasks for Distribution in a Cluster
> ### Aliases: splitIndices
> ### Keywords: utility
>
> ### ** Examples
>
> splitIndices(20, 3)
[[1]]
[1] 1 2 3 4 5 6 7
[[2]]
[1] 8 9 10 11 12 13
[[3]]
[1] 14 15 16 17 18 19 20
>
>
>
>
>
> dev.off()
null device
1
>