R 2016
Introduction
R is a free software environment for statistical computing and graphics
Using R on the HPC cluster
If you want to use R on the HPC cluster, you will have to load its module. You can do that by using the command
module load R
Since there is only one version of R installed, you dont need to specify a version. If you use the command
module spider R
you will find more informations about the module.
Installed version
The currently installed version of R is 3.3.1.
Additional installed packages
The R release contais a lot of additional packages, here is a full list of every currently installed package abc, abc.data, abind, acepack, adabag, ade4, adegenet, adephylo, ADGofTest, akima, AlgDesign, animation, ape, arm, assertthat, AUC, backports, base64, base64enc, BatchJobs, BB, BBmisc, beanplot, BH, BiasedUrn, bigmemory, bigmemory.sri, bio3d, biom, bit, bitops, bnlearn, bold, bootstrap, brew, brglm, Brobdingnag, calibrate, car, caret, caTools, cgdsr, checkmate, chemometrics, chron, clusterGeneration, clusterRepro, clValid, coda, coin, colorspace, combinat, corpcor, crayon, cubature, curl, cvAUC, d3Network, data.table, DBI, deal, deldir, DEoptimR, deSolve, devtools, DiagrammeR, dichromat, digest, diptest, DiscriMiner, dismo, distillery, diveRsity, doMC, doParallel, doRNG, doSNOW, dplyr, e1071, EasyABC, ellipse, evaluate, expm, expsmooth, extrafont, extrafontdb, extRemes, FactoMineR, fail, fastcluster, fastICA, fastmatch, fdrtool, ff, ffbase, fields, filehash, flashClust, flexclust, flexmix, fma, FNN, foreach, forecast, formatR, Formula, fossil, fpc, fpp, fracdiff, futile.logger, futile.options, gam, amlss.data, gamlss.dist, gbm, gclus, gdalUtils, gdata, geepack, geiger, GeneNet, geometry, getopt, GGally, ggm, ggplot2, ggvis, git2r, glasso, glmnet, gmodels, goftest, gplots, gridBase, gridExtra, GSA, gsalib, gsl, gtable, gtools, highr, Hmisc, htmltools, htmlwidgets, httpuv, httr, huge, hwriter, igraph, infotheo, interpretR, ipred, irace, irlba, Iso, iterators, jpeg, jsonlite, kernlab, klaR, knitr, kohonen, ks, labdsv, labeling, lambda.r, lars, latticeExtra, lava, lavaan, lazy, lazyeval, leaps, LearnBayes, lhs, lme4, Lmoments, lmtest, locfit, logcondens, logistf, logspline, longitudinal, longmemo, lpSolve, lubridate, magic, magrittr, maps, maptools, markdown, matrixcalc, MatrixModels, matrixStats, maxLik, mboost, mclust, mediation, memoise, mi, mice, mime, minqa, misc3d, miscTools, mixtools, mlbench, mlogit, mlr, mnormt, modeltools, msm, multcomp, multicool, munsell, mvtnorm, ncbit, neuRosim, nleqslv, nloptr, NLP, NMF, nnls, nor1mix, np, numDeriv, openssl, openxlsx, optparse, parallelMap, ParamHelpers, party, pbivnorm, pbkrtest, pcaPP, penalized, permute, phangorn, pheatmap, phylobase, pim, pixmap, pkgmaker, plotrix, pls, plyr, png, polspline, polyclip, polynom, prabclus, pracma, praise, pROC, prodlim, profileModel, proto, pscl, pspline, psych, pvclust, qgraph, quadprog, quantmod, quantreg, R6, randomForest, randomForestSRC, RANN, raster, RCircos, RColorBrewer, Rcpp, RcppArmadillo, RcppEigen, RCurl, registry, rentrez, reshape, reshape2, RGCCA, rgdal, rgl, rJava, rjson, RJSONIO, rlecuyer, rmarkdown, R.matlab, rmeta, R.methodsS3, Rmpi, rms, RMTstat, rncl, RNeXML, rngtools, robustbase, ROCR, R.oo, Rook, rotl, roxygen2, rredlist, RSNNS, RSQLite, rstudioapi, Rttf2pt1, R.utils, rversions, RWeka, RWekajars, sandwich, scales, scatterplot3d, segmented, sem, sendmailR, seqinr, sfsmisc, shape, shapefiles, shiny, slam, sm, sna, snow, snowfall, som, sp, spam, SparseM, spatstat, spdep, stabledist, stabs, statmod, stringi, stringr, strucchange, subplex, SuperLearner, SuppDists, survivalROC, taxize, TeachingDemos, tensor, tensorA, testthat, TH.data, tibble, tidyr, timeDate, tkrplot, tm, TraMineR, tree, trimcluster, tripack, tseries, tseriesChaos, TTR, unbalanced, urca, uuid, vcd, vegan, VennDiagram, VGAM, isNetwork, waveslim, whisker, withr, xlsx, xlsxjars, XML, xml2, xtable, xts, yaml, zoo
Documentation
You can look up anything about R on their
