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R 3.6.2 installed on cluster

R 3.6.2, released on 12th December 2019, has been installed (with Intel optimisations) on the cluster.

R 3.6.2 has been installed on the cluster, using the Intel compilers for a performance optimised build. Many common or hard-to-install R packages (rgdal, udunits, sf) have been installed in the system-wide library location (/p/system/packages/R/3.6.2/lib64/R/library/) for convenience.

The installed packages have been built against the following modules. Those marked with "*" are required for running the base R installation. Others may or may not be required, depending on which packages you load at runtime.

* R/3.6.2
* intel/2018.3
proj4/5.0.1
geos/3.6.1
gdal/2.4.0
udunits/2.2.26

The following R packages are installed system-wide (in library path /p/system/packages/R/3.6.2/lib64/R/library)

      Package  Version
           BH 1.69.0-1
          DBI    1.0.0
           R6    2.4.1
 RColorBrewer    1.1-2
         Rcpp    1.0.3
         Rmpi    0.6-9
   assertthat    0.2.1
    backports    1.1.5
     classInt    0.4-2
          cli    2.0.0
   colorspace    1.4-1
       crayon    1.3.4
       digest   0.6.23
        dplyr    0.8.3
        e1071    1.7-3
     ellipsis    0.3.0
        fansi    0.4.0
       farver    2.0.1
           fs    1.3.1
      ggplot2    3.2.1
         glue    1.3.1
       gtable    0.3.0
     labeling      0.3
     lazyeval    0.2.2
    lifecycle    0.1.0
     magrittr      1.5
      munsell    0.5.0
       pillar    1.4.2
    pkgconfig    2.0.3
        plogr    0.2.0
         plyr    1.8.5
        purrr    0.3.3
     reshape2    1.4.3
        rgdal    1.4-8
        rgeos    0.5-2
        rlang    0.4.2
       scales    1.1.0
           sf    0.8-0
           sp    1.3-2
      stringi    1.4.3
      stringr    1.4.0
       tibble    2.1.3
        tidyr    1.0.0
   tidyselect    0.2.5
     udunits2     0.13
        units    0.6-5
         utf8    1.1.4
        vctrs    0.2.0
  viridisLite    0.3.0
        withr    2.1.2
      zeallot    0.1.0

As usual, please send any questions or problem reports to cluster-support@pik-potsdam.de

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