Installed #R Libraries

After upgrading to WIN10 I have decided to make clean R Environment for R Base engine 3.1.2. and 3.2.2.

Most of R libraries was installed under 3.2.2. base. And here is the list of all:

abind, abn, acepack, adabag, ade4, ADGofTest, ahaz, akima, amap, Amelia, animation, aod, ape, aplpack, arm, arules, arulesViz, ash, assertthat, base64, bayesm, bayesmix, BayesTree, BBmisc, BDgraph, bdsmatrix, betareg, BH, bibtex, biclust, biglm, bigRR, bit, bit64,  bitops, BMA, bmrm, bnlearn, boa, boilerpipeR, bootstrap, Boruta, brew, brglm, BRugs, bst, C50, ca, Cairo, cairoDevice, calibrate, car,  caret, catnet, caTools, catspec, cba, checkmate, chron, circlize, CircStats, clue, cluster, clusterGeneration, clusterSim, clustvarsel,  clv, cmprsk, cobs, cocorresp, coda, codetools, coin, colorspace, combinat, concor, copula, CORElearn, corpcor, corpora, covRobust,  CoxBoost, cramer, cubature, Cubist, curl, cwhmisc, data.table, DatABEL, DBI, dclone, deal, delt, demography, denpro, DEoptimR,  desirability, devtools, diagram, DiagrammeR, dichromat, digest, diptest, dispmod, distrom, doParallel, dplyr, dr, dse, DSL, dynamicGraph,  e1071, earth, effects, elasticnet, ElemStatLearn, ellipse, elrm, emoa, energy, entropy, Epi, ergm, ergm.count, eRm, estimability, etm,  EvalEst, evaluate, evtree, exactLoglinTest, expm, FactoMineR, FAiR, fastcluster, fastICA, fBasics, FBFsearch, FCNN4R, fda, fdrtool,
feature, fgac, flashClust, flexclust, flexmix, flsa, foreach, forecast, foreign, formatR, Formula, forward, fpc, fracdiff, frbs, fso,
ftsa, gam, GAMBoost, gamboostLSS, gamlr, gbm, gclus, gdata, gee, geepack, gender, GeneNet, GenKern, geometry, geozoo, GGally, ggm,   ggplot2, ggvis, giRaph, git2r, glmnet, glmpath, GlobalOptions, GMMBoost, gmodels, gmp, gnm, googleVis, GPArotation, gplots, gRain, gRapHD,   gRbase, gRc, gridBase, gridExtra, gRim, grplasso, grpreg, gsl, gss, gsubfn, gtable, gtools, gWidgets, gWidgetsRGtk2, hash, hda, hddplot,   hdi, hdrcde, hexbin, hglm, hglm.data, highr, Hmisc, homals, htmltools, htmlwidgets, httpuv, httr, huge, hybridHclust, ICS, ICSNP, IDPmisc,  igraph, influence.ME, inline, iplots, ipred, irlba, ISLR, ISOcodes, iterators, JADE, JavaGD, jpeg, jsonlite, kernlab, KernSmooth, kknn,   klaR, knitcitations, knitr, knncat, kohonen, KoNLP, koRpus, ks, labdsv, labeling, Lahman, languageR, lars, lasso2, latentnet, lattice,
latticeExtra, lava, lazyeval, lcd, lda, leaps, lhs, LiblineaR, linprog, lme4, lmeSplines, lmm, lmtest, locfit, LogicForest, LogicReg,   logistf, logmult, longitudinal, LowRankQP, lpSolve, lsa, lsmeans, ltm, lubridate, magic, magrittr, maps, maptools, maptree, mAr, markdown,  MASS, Matching, MatchIt, mathgraph, Matrix, matrixcalc, MatrixModels, maxent, maxLik, mboost, mclust, MCMCglmm, MCMCpack, mda, memoise,  mgcv, mi, mice, migest, mime, minqa, misc3d, miscTools, mitools, mix, mlbench, mlegp, mlogit, mlr, mnormt, MNP, modeltools, monomvn,  movMF, msm, multcomp, multgee, multicool, multinomRob, multiplex, munsell, mvnmle, mvnormtest, mvoutlier, mvtnorm, ncvreg, ndtv, network,  networkDynamic, nFactors, nlme, nloptr, NLP, nlstools, NMF, nnet, nnls, norm, np, numDeriv, oblique.tree, onion, openNLP, openNLPdata,
optmatch, PAFit, pamr, pan, parallelMap, ParamHelpers, paran, parcor, party, partykit, pbkrtest, pcalg, pcaPP, PearsonICA, penalized, penalizedLDA, penalizedSVM, permute, perturb, pkgmaker, playwith, plotmo, plotrix, pls, plsgenomics, plyr, png, poLCA, polspline, polycor, ppls, prabclus, prim, pROC, prodlim, profileModel, proto, proxy, PSAgraphics, pscl, pspline, psy, psych, PTAk, qdap, qdapDictionaries,  qdapRegex, qdapTools, quadprog, quantmod, quantreg, quantregForest, QUIC, qvcalc, R2HTML, R2OpenBUGS, R2WinBUGS, R6, rainbow,  randomForest, randomForestSRC, ranger, rattle, rbugs, Rcmdr, RcmdrMisc, RcmdrPlugin.temis, RColorBrewer, Rcpp, RcppArmadillo, RcppEigen,  RCurl, rda, rdetools, readxl, REEMtree, RefManageR, registry, relaimpo, relaxo, relimp, reshape, reshape2, rgdal, rgenoud, rggobi, rgl,
RgoogleMaps, rgp, RGraphics, RGtk2, RItools, rjags, rJava, RJDBC, rjson, RJSONIO, RKEA, RKEAjars, Rmalschains, rminer, rms, rngtools,  ROAuth, robCompositions, robustbase, ROCR, RODBC, RoughSets, roxygen2, rpart, RPMM, rrcov, RSiena, RSNNS, RSQLite, RSQLServer, Rstem,  rstudioapi, RTextTools, rversions, rvest, RWeka, RWekajars, RXKCD, RXshrink, sandwich, sca, scagnostics, scales, scalreg, scatterplot3d, sda, sde, Sejong, selectr, sem, SensoMineR, sentiment, seriation, setRNG, sfsmisc, sgeostat, shape, shiny, simba, simpleboot, SIN,  skmeans, slam, sm, smatr, sn, sna, SnowballC, sp, spam, SparseM, SpatialNP, sROC, stabledist, stabs, statmod, statnet, statnet.common,  stringdist, stringi, stringr, strucchange, superpc, survey, survival, svd, svmpath, tau, tcltk2, TeachingDemos, tensor, tensorA, tergm,
textcat, textir, tfplot, tframe, tgp, TH.data, tidyr, timeDate, timeSeries, tkrplot, tm, tm.plugin.alceste, tm.plugin.dc,
tm.plugin.europresse, tm.plugin.factiva, tm.plugin.lexisnexis, tm.plugin.mail, tm.plugin.sentiment, tm.plugin.webmining, topicmodels,  tree, trimcluster, trust, tseries, tsfa, TSP, TTR, TurtleGraphics, twitteR, ucminf, varSelRF, vcd, vcrpart, vegan, venneuler, VGAM, VIM, vioplot, visNetwork, visreg, whisker, wordcloud, wordnet, xgobi, XLConnect, XLConnectJars, xlsx, xlsxjars, XML, xml2, xtable, xts,  YaleToolkit, yaml, Zelig, zipfR, zoo, base, boot, class, cluster, codetools, compiler, datasets, foreign, graphics, grDevices, grid,  KernSmooth, lattice, MASS, Matrix, methods, mgcv, nlme, nnet, parallel, rpart, spatial, splines, stats, stats4, survival, tcltk, tools,  translations, utils.
Generated with following R Script:

setwd(“C:/DataTK”)
if(exists(c(“x.lib”, “x.lib2″,”lib_vector”, “sep_val”))){rm(x.lib2, x.lib, lib_vector, sep_val)}
x.lib <- data.frame(installed.packages())
x.lib2 <- cbind.data.frame(x.lib$Priority, x.lib$Package, x.lib$Built, x.lib$Version)
lib_vector <- as.vector(x.lib$Package)
#class(lib_vector)
sep_val <- paste(as.character(lib_vector), sep=”‘ ‘”, collapse=”, “)
write(sep_val)

And if you want to install all these libraries, you can download attached text file with all the install commands.

R script for getting all  library names and storing them in *.txt file is:

if(exists(c(“libname”,”part1″, “part2”, “part3”, “str”, “install_pack”))){rm(libname,part1, part2, part3, str, install_pack)}

for (i in 1:nrow(x.lib))
{
libname = as.character(x.lib[i,”Package”])
part1 <- “if(!is.element(\””
part2 <- “\”,installed.packages()[,1])){install.packages(\””
part3 <- “\”)}”
str <- (c(part1, libname, part2, libname, part3))
install_pack <- paste(as.character(str), sep=””, collapse=””)
write(install_pack, “installed_packages.txt”, append=TRUE)
i <- i +1
}

installed_packages.txt

Enjoy!

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