328 | | If you want to use some R packages that are not yet installed in your desired version of R on Cypress, |
329 | | then you have several alternatives, as prescribed below, for locations for installing those packages. Those locations include either your user home directory or lustre sub-directory, and the methods will vary depending on your desired level of reproducibility. |
330 | | |
331 | | === [=#RPackageAlternative1 Alternative 1] - default to home sub-directory === |
332 | | From your R session, you may choose to have R install its packages into a sub-directory under your home directory. |
333 | | By default R will create such a sub-directory whose name corresponds to the R version of your current R session and install your packages there. |
334 | | |
335 | | {{{ |
336 | | > R.version.string |
337 | | [1] "R version 3.4.1 (2017-06-30)" |
338 | | > install.packages("copula") |
339 | | Installing package into ‘/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib’ |
340 | | (as ‘lib’ is unspecified) |
341 | | Warning in install.packages("copula") : |
342 | | 'lib = "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib"' is not writable |
343 | | Would you like to use a personal library instead? (y/n) y |
344 | | Would you like to create a personal library |
345 | | ~/R/x86_64-pc-linux-gnu-library/3.4 |
346 | | to install packages into? (y/n) y |
347 | | --- Please select a CRAN mirror for use in this session --- |
348 | | PuTTY X11 proxy: unable to connect to forwarded X server: Network error: Connection refused |
349 | | HTTPS CRAN mirror |
350 | | |
351 | | 1: 0-Cloud [https] 2: Algeria [https] |
352 | | ... |
353 | | 79: Vietnam [https] 80: (HTTP mirrors) |
354 | | |
355 | | |
356 | | Selection: 77 |
357 | | ... |
358 | | }}} |
359 | | |
360 | | Note that the above example was performed without X11 forwarding, resulting in a prompt at the command line for selection of a CRAN mirror site in the above, at which point you should enter the number corresponding to the desired mirror site, e.g. '''77'''. |
361 | | |
362 | | === Alternative 2 - specify your lustre sub-directory via exported environment variable === |
363 | | Alternatively, if you prefer to use, say, your lustre sub-directory rather than your home directory, then you may do so via an exported environment variable setting as in the following. |
364 | | The environmental variable **R_LIBS_USER** points the desired location of user package(s). |
365 | | |
366 | | First, create a directory and export the environment variable. |
367 | | {{{ |
368 | | mkdir -p /lustre/project/<your-group-name>/R/Library |
369 | | export R_LIBS_USER=/lustre/project/<your-group-name>/R/Library |
370 | | }}} |
371 | | |
372 | | Then run R and install a package. Note that we can use the R function **.libPaths()** as confirmation of the user library location. |
373 | | {{{ |
374 | | > .libPaths() |
375 | | [1] "/lustre/project/<your-group-name>/R/Library" |
376 | | [2] "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib" |
377 | | [3] "/share/apps/R/3.4.1-intel/lib64/R/library" |
378 | | > install.packages("copula") |
379 | | Installing package into ‘/lustre/project/<your-group-name>/R/Library’ |
380 | | (as ‘lib’ is unspecified) |
381 | | ... |
382 | | }}} |
383 | | |
384 | | === Alternative 3 - specify lustre sub-directory via environment file === |
385 | | Similarly, you may accomplish the above via the same environment variable setting as above but in a local file as in the following. |
386 | | |
387 | | First, create a directory as above. |
388 | | {{{ |
389 | | mkdir -p /lustre/project/<your-group-name>/R/Library |
390 | | }}} |
391 | | Then setting **R_LIBS_USER** in the file **~/.Renviron** will tell R a default location. |
392 | | |
393 | | Note however that setting or unsetting the environment variable **R_LIBS_USER** in the file **~/.Renviron** will //override// any previously exported value of that same environment variable! |
394 | | |
395 | | {{{ |
396 | | echo 'R_LIBS_USER="/lustre/project/<your-group-name>/R/Library"' > ~/.Renviron |
397 | | }}} |
398 | | Or use a text editor in order to create and edit the file **~/.Renviron** so that the file includes the following line. |
399 | | {{{ |
400 | | R_LIBS_USER="/lustre/project/<your-group-name>/R/Library" |
401 | | }}} |
402 | | |
403 | | Then run R and install a package. Note again the use of R function **.libPaths()** as confirmation of the user library location. |
404 | | {{{ |
405 | | > .libPaths() |
406 | | [1] "/lustre/project/<your-group-name>/R/Library" |
407 | | [2] "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib" |
408 | | [3] "/share/apps/R/3.4.1-intel/lib64/R/library" |
409 | | > install.packages("copula") |
410 | | Installing package into ‘/lustre/project/<your-group-name>/R/Library’ |
411 | | (as ‘lib’ is unspecified) |
412 | | ... |
413 | | }}} |
414 | | |
415 | | === Alternative 4 - specify lustre sub-directory via R profile file === |
416 | | Similarly, you may set the sub-directory depending on R major.minor version via the R profile file as in the following. |
417 | | |
418 | | Edit the file **~/.Rprofile** as follows. |
419 | | {{{ |
420 | | majorMinorPatch <- paste(R.version[c("major", "minor")], collapse=".") |
421 | | majorMinor <- gsub("(.*)\\..*", "\\1", majorMinorPatch) |
422 | | #print(paste0("majorMinor=", majorMinor)) |
423 | | myLibPath <- paste0("/lustre/project/<your-group-name>/R/Library/", majorMinor) |
424 | | dir.create(myLibPath, showWarnings = FALSE) |
425 | | #print(paste0("myLibPath=", myLibPath)) |
426 | | newLibPaths <- c(myLibPath, .libPaths()) |
427 | | .libPaths(newLibPaths) |
428 | | }}} |
429 | | |
430 | | Note that setting the R library trees directly via the R function **.libPaths()** in the file **~/.Rprofile** can thus either //override// or //append// to that of any previously set value of **R_LIBS_USER**! |
431 | | |
432 | | Then run R and install a package. Note again the use of R function **.libPaths()** as confirmation of the user library location. |
433 | | {{{ |
434 | | > .libPaths() |
435 | | [1] "/lustre/project/<your-group-name>/R/Library/3.4" |
436 | | [2] "/share/apps/spark/spark-2.0.0-bin-hadoop2.6/R/lib" |
437 | | [3] "/share/apps/R/3.4.1-intel/lib64/R/library" |
438 | | > install.packages("copula") |
439 | | Installing package into ‘/lustre/project/<your-group-name>/R/Library/3.4’ |
440 | | (as ‘lib’ is unspecified) |
441 | | ... |
442 | | }}} |
443 | | |
444 | | === Alternative 5 - specify lustre sub-directory via R code === |
445 | | As for yet another alternative, you can accomplish the above entirely in your R code via the following. |
446 | | First, create a directory as before. |
447 | | {{{ |
448 | | mkdir -p /lustre/project/<your-group-name>/R/Library |
449 | | }}} |
450 | | |
451 | | Then run R and install a package, but note that you must also specify the location from which to load the package in the ensuing call to the R function **library()**. |
452 | | {{{ |
453 | | > myLib := "/lustre/project/<your-group-name>/R/Library" |
454 | | > install.packages("copula",lib=myLib) |
455 | | ... |
456 | | > library(copula, lib.loc=myLib) |
457 | | }}} |
| 328 | See [wiki:InstallingRPackages here.] |
| 329 | |