I am using default command to install multicore
package
install.packages('multicore','http://www.rforge.net/')
as written here http://www.rforge.net/multicore/files/ but I recieve warning:
install.packages('multicore','http://www.rforge.net/') Warning in install.packages : 'lib = "http://www.rforge.net/"' is not writable Would you like to use a personal library instead? (y/n) y Warning in install.packages : package ‘multicore’ is not available (for R version 3.1.2)
Does anybody know any solution to this? I can not use previous versions of R.
I would like to use mclapply
function from that package.
Thanks for help.
My session info is:
> sessionInfo()
R version 3.1.2 (2014-10-31)
Platform: x86_64-redhat-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US.UTF-8 LC_NUMERIC=C
[3] LC_TIME=en_US.UTF-8 LC_COLLATE=en_US.UTF-8
[5] LC_MONETARY=en_US.UTF-8 LC_MESSAGES=en_US.UTF-8
[7] LC_PAPER=en_US.UTF-8 LC_NAME=C
[9] LC_ADDRESS=C LC_TELEPHONE=C
[11] LC_MEASUREMENT=en_US.UTF-8 LC_IDENTIFICATION=C
attached base packages:
[1] stats graphics grDevices utils datasets methods base
other attached packages:
[1] stringi_0.4-1 ggplot2_1.0.0
loaded via a namespace (and not attached):
[1] colorspace_1.2-4 digest_0.6.8 grid_3.1.2 gtable_0.1.2
[5] MASS_7.3-35 munsell_0.4.2 plyr_1.8.1 proto_0.3-10
[9] Rcpp_0.11.3 reshape2_1.4.1 scales_0.2.4 stringr_0.6.2
[13] tools_3.1.2
If used as R CMD INSTALL pkgs without explicitly specifying lib , packages are installed into the library tree rooted at the first directory in the library path which would be used by R run in the current environment.
This question already has answers here: It shouldn't be an issue unless you install a package as an admin user, and again as a normal user. Then you will have a version in two different locations on your system. That could lead to issues when upgrading, or confusion as to which version is loaded.
Why do you need it?
Most of its functionality has been integrated into the parallel
package which already comes with R. Have a look at its vignette, eg from within R via vignette()
or else from here.
And the reason you cannot install 'multicore' is because it has been withdrawn by R Core, given how its functionality is (essentially entirely) in 'parallel' now.
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