| 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 | |