I am working with large datasets in R and some of the computations are too heavy for my machine in terms of RAM (cannot allocate vector of size n Mb).
sessionInfo()
R version 3.1.2 (2014-10-31) Platform: x86_64-w64-mingw32/x64 (64-bit)
locale: [1] LC_COLLATE=English_United Kingdom.1252 LC_CTYPE=English_United Kingdom.1252
[3] LC_MONETARY=English_United Kingdom.1252 LC_NUMERIC=C
[5] LC_TIME=English_United Kingdom.1252attached base packages: [1] stats graphics grDevices utils datasets methods base
other attached packages: [1] MASS_7.3-35 lubridate_1.3.3 nlstools_1.0-0 stringr_0.6.2 numbers_0.5-2 plyr_1.8.1
[7] simecol_0.8-4 deSolve_1.11 Quandl_2.4.0 xts_0.9-7 zoo_1.7-11 data.table_1.9.4 [13] RODBC_1.3-10loaded via a namespace (and not attached): [1] bitops_1.0-6 chron_2.3-45 digest_0.6.8 grid_3.1.2 lattice_0.20-29 memoise_0.2.1
[7] Rcpp_0.11.4 RCurl_1.95-4.5 reshape2_1.4.1 RJSONIO_1.3-0 tools_3.1.2
I have access to an Amazon EC2 external server with up to 30 GB RAM which should be enough. My question is how I can run an R script on this external server using my local machine? Is there a function for this?