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R is a free software environment for statistical computing and graphics.


Versionmodule namebuildnotes
4.0.3r/4.0.3SPACK using gcc 8.3.1optimized for avx, avx2 and avx512
4.0.3conda/rConda packagesLoad anaconda3/2020.07 first

Seminar Slides

Installed Packages 

R packages are built using SPACK optimized for the underlying CPU architecture or binary installs using Conda. Applications built by RC staff that are dependent on R use the SPACK built R packages.

 Package List

Package

4.0.3 SPACK

4.0.3 Conda

acepack

1.4.1


amap

0.8-17


animation

2.6


annotate

1.62.0


AnnotationDbi

1.46.1


ape

5.3


argparse

2.0.1


askpass

1.1

1.1

assertthat

0.2.1

0.2.1

backports

1.1.4

1.2.0

base

4.0.3

4.0.3

base64enc

0.1-3

0.1-3

BBmisc

1.11


BH

1.69.0-1


BiasedUrn

1.07


bibtex

0.4.2


bigmemory

4.5.36


bigmemory.sri

0.1.3


Biobase

2.44.0


BiocGenerics

0.34.0


BiocManager

1.30.10


BiocParallel

1.18.1


biomaRt

2.40.5


Biostrings

2.52.0


bit

1.1-14


bit64

0.9-7


bitops

1.0-6


blob

1.2.0

1.2.1

boot

1.3-23

1.3-25

boot

1.3-27

1.3-25

brew

1.0-6


brio


1.1.0

broom

0.5.2

0.7.2

callr

3.4.3

3.5.1

caret

6.0-84

6.0-86

caTools

1.17.1.2


cellranger

1.1.0

1.1.0

checkmate

1.9.4


chron

2.3-53


class

7.3-15

7.3-17

cli

2.0.2

2.2.0

clipr

0.7.0

0.7.1

cluster

2.1.0

2.1.0

cluster

2.1.1

2.1.0

clusterGeneration

1.3.4


coda

0.19-3


codetools

0.2-16

0.2-18

codetools

0.2-18

0.2-18

colorspace

1.4-1

2.0-0

combinat

0.0-8


commonmark

1.7

1.7

compiler

4.0.3

4.0.3

covr

3.5.0


cowplot

1.0.0


cpp11


0.2.4

crayon

1.3.4

1.3.4

crosstalk

1.0.0

1.1.0.1

crul


1.0.0

ctc

1.58.0


curl

4.3

4.3

data.table

1.12.8

1.13.2

datasets

4.0.3

4.0.3

DBI

1.1.0

1.1.0

dbplyr

1.4.2

2.0.0

DelayedArray

0.10.0


dendextend

1.12.0


desc

1.2.0

1.2.0

DESeq2

1.24.0


devtools

2.3.0


DEXSeq

1.36.0


diffobj


0.3.2

digest

0.6.25

0.6.27

doParallel

1.0.15


dplyr

0.8.3

1.0.2

dqrng

0.2.1


DT

0.13

0.16

dygraphs

1.1.1.6

1.1.1.6

edgeR

3.26.8


ellipsis

0.3.0

0.3.1

evaluate

0.14

0.14

expm

0.999-4


fansi

0.4.0

0.4.1

farver


2.0.3

fastcluster

1.1.25


fastmap


1.0.1

fastmatch

1.1-0


findpython

1.0.5


fitdistrplus

1.0-14


flexdashboard


0.5.2

FNN

1.1.3


forcats

0.4.0

0.5.0

foreach

1.4.7

1.5.1

foreign

0.8-72

0.8-80

foreign

0.8-81

0.8-80

formatR

1.7

1.7

Formula

1.2-3


fs

1.3.1

1.5.0

futile.logger

1.4.3


futile.options

1.0.1


future

1.14.0


future.apply

1.3.0


gbRd

0.4-11


gdata

2.18.0


genefilter

1.72.1


geneLenDataBase

1.20.0


geneplotter

1.62.0


generics

0.0.2

0.1.0

GenomeInfoDb

1.20.0


GenomeInfoDbData

1.2.1


GenomicAlignments

1.20.1


GenomicFeatures

1.36.4


GenomicRanges

1.36.1


ggdendro

0.1-20


ggplot2

3.2.0

3.3.2

ggrepel

0.8.1


ggridges

0.5.1


gh

1.1.0


gistr

0.4.2

0.9.0

git2r

0.27.1


Glimma

1.12.0


glmnet


4.0-2

globals

0.12.4


glue

1.4.1

1.4.2

gmodels

2.18.1


GO.db

3.4.1


GOplot

1.0.2


goseq

1.36.0


gower

0.2.1

0.2.2

gplots

3.0.1.1


graphics

4.0.3

4.0.3

grDevices

4.0.3

4.0.3

grid

4.0.3

4.0.3

gridExtra

2.3


gsubfn

0.7


gtable

0.3.0

0.3.0

gtools

3.8.1


haven

2.1.1

2.3.1

hdf5r

1.2.0


hexbin

1.27.3

1.28.1

highr

0.8

0.8

Hmisc

4.4-0


hms

0.5.0

0.5.3

htmlTable

1.13.1


htmltools

0.3.6

0.5.0

htmlwidgets

1.3

1.5.2

httpcode


0.3.0

httpuv

1.5.1

1.5.4

httr

1.4.1

1.4.2

hwriter

1.3.2


ica

1.0-2


igraph

1.2.4.1


ini

0.3.1


inline

0.3.15


ipred

0.9-9

0.9-9

IRanges

2.22.2


IRdisplay


0.7.0

IRkernel


1.1.1

irlba

2.3.3


isoband


0.2.2

iterators

1.0.12

1.0.13

janitor

1.2.0


jsonlite

1.6.1

1.7.1

kableExtra


1.3.1

KernSmooth

2.23-15

2.23-18

KernSmooth

2.23-18

2.23-18

knitr

1.28

1.30

labeling

0.3

0.4.2

lambda.r

1.2.3


later

0.8.0

1.1.0.1

lattice

0.20-38

0.20-41

lattice

0.20-41

0.20-41

latticeExtra

0.6-28


lava

1.6.6

1.6.8.1

lazyeval

0.2.2

0.2.2

leiden

0.3.1


lifecycle


0.2.0

limma

3.40.6


listenv

0.7.0


lme4

1.1-21


lmtest

0.9-37


locfit

1.5-9.1


loo

2.1.0


lsei

1.2-0


lubridate

1.7.4

1.7.9.2

magick

2.1


magrittr

1.5

2.0.1

maps

3.3.0

3.3.0

markdown

1.1

1.1

MASS

7.3-51.5

7.3-53

MASS

7.3-53.1

7.3-53

Matrix

1.2-17

1.2-18

Matrix

1.3-2

1.2-18

matrixStats

0.55.0


memoise

1.1.0


metap

1.1


methods

4.0.3

4.0.3

mgcv

1.8-28

1.8-33

mgcv

1.8-34

1.8-33

mime

0.7

0.9

minqa

1.2.4


mlr

2.15.0


mnormt

1.5-5


ModelMetrics

1.2.2

1.2.2.2

modelr

0.1.5

0.1.8

multtest

2.40.0


munsell

0.5.0

0.5.0

ncdf4

1.16.1


nlme

3.1-141

3.1-150

nlme

3.1-152

3.1-150

nloptr

1.2.1


nnet

7.3-12

7.3-14

nnet

7.3-15

7.3-14

npsurv

0.4-0


numDeriv

2016.8-1.1

2016.8-1.1

openssl

1.4.1

1.4.3

openxlsx

4.1.0.1


pacman

0.5.1


parallel

4.0.3

4.0.3

parallelMap

1.4


ParamHelpers

1.12


pbapply

1.4-1


pbdZMQ


0.3-3.1

phangorn

2.5.5


phytools

0.6-99


pillar

1.4.2

1.4.7

pkgbuild

1.0.8

1.1.0

pkgconfig

2.0.2

2.0.3

pkgload

1.0.2

1.1.0

plogr

0.2.0


plotly

4.9.0

4.9.2.1

plotrix

3.7-6


plyr

1.8.4

1.8.6

png

0.1-7


praise

1.0.0

1.0.0

prettyunits

1.0.2

1.1.1

pROC


1.16.2

processx

3.4.1

3.4.4

prodlim

2018.04.18

2019.11.13

progress

1.2.2

1.2.2

promises

1.0.1

1.1.1

proto

1.0.0


pryr

0.1.4

0.1.4

ps

1.3.0

1.4.0

purrr

0.3.4

0.3.4

quadprog

1.5-7


quantmod

0.4-15

0.4.17

qvalue

2.16.0


R.methodsS3

1.7.1


R.oo

1.23.0


R.utils

2.9.0


R6

2.4.0

2.5.0

randomForest

4.6-14

4.6-14

RANN

2.6.1


rappdirs

0.3.1

0.3.1

rbokeh

0.5.0

0.5.1

rcmdcheck

1.3.3


RColorBrewer

1.1-2

1.1-2

Rcpp

1.0.4.6

1.0.5

RcppAnnoy

0.0.12


RcppArmadillo

0.9.600.4.0


RcppEigen

0.3.3.5.0


RcppParallel

4.4.3


RcppProgress

0.4.1


RCurl

1.98-1.2


Rdpack

0.11-0


readr

1.3.1

1.4.0

readxl

1.3.1

1.3.1

recipes

0.1.6

0.1.15

rematch

1.0.1

1.0.1

rematch2

2.1.2

2.1.2

remotes

2.1.1


repr


1.1.0

reprex

0.3.0

0.3.0

reshape2

1.4.3

1.4.4

reticulate

1.15

1.18

rex

1.1.2


rhdf5

2.28.1


Rhdf5lib

1.6.3


Rhtslib

1.18.1


rlang

0.4.6

0.4.8

rmarkdown

1.14

2.5

ROCR

1.0-7


ROTS

1.12.0


roxygen2

7.1.0


rpart

4.1-15

4.1-15

rpart

4.1-15

4.1-15

RPostgreSQL

0.6-2


rprojroot

1.3-2

2.0.2

Rsamtools

2.2.1


RSpectra

0.15-0


RSQLite

2.1.2


rstan

2.19.2


rstudioapi

0.11

0.13

rsvd

1.0.2


rtracklayer

1.44.4


Rtsne

0.15


rversions

2.0.1


rvest

0.3.4

0.3.6

S4Vectors

0.26.1


scales

1.0.0

1.1.1

scatterplot3d

0.3-41


sctransform

0.2.0


SDMTools

1.1-221.1


selectr

0.4-1

0.4-2

sessioninfo

1.1.1


Seurat

3.1.0


shape


1.4.5

shiny

1.3.2

1.5.0

sitmo

2.0.1


sm

2.2-5.6


snakecase

0.11.0


snow

0.4-3


sourcetools

0.1.7

0.1.7

spatial


7.3-12

splines

4.0.3

4.0.3

splitstackshape

1.4.8


sqldf

0.4-11


SQUAREM

2017.10-1

2020.5

StanHeaders

2.18.1-10


statmod

1.4.32


stats

4.0.3

4.0.3

stats4

4.0.3

4.0.3

stringi

1.4.3

1.5.3

stringr

1.4.0

1.4.0

SummarizedExperiment

1.18.2


survival

3.1-12

3.2-7

survival

3.2-7

3.2-7

sys

3.2

3.4

tcltk

4.0.3

4.0.3

testthat

2.3.2

3.0.0

tibble

2.1.3

3.0.4

tidyr

0.8.3

1.1.2

tidyselect

0.2.5

1.1.0

tidyverse

1.2.1

1.3.0

timeDate

3043.102

3043.102

tinytex

0.15

0.27

tools

4.0.3

4.0.3

triebeard


0.3.0

tsne

0.1-3


TTR

0.23-4

0.24.2

tximport

1.12.3


tximportData

1.18.0


urltools


1.7.3

usethis

1.6.1


utf8

1.1.4

1.1.4

utils

4.0.3

4.0.3

uuid


0.1-4

uwot

0.1.3


vctrs

0.2.0

0.3.5

viridis

0.5.1


viridisLite

0.3.0

0.3.0

waldo


0.2.3

webshot


0.5.2

whisker

0.3-2

0.4

withr

2.2.0

2.3.0

xfun

0.8

0.19

XML

3.98-1.20


xml2

1.3.2

1.3.2

xopen

1.0.0


xtable

1.8-4

1.8-4

xts

0.11-2

0.12.1

XVector

0.24.0


yaml

2.2.0

2.2.1

zeallot

0.1.0

0.1.0

zip

2.0.3


zlibbioc

1.30.0


zoo

1.8-6

1.8-8


A comprehensive list of packages is available in the RStudio singularity images. Click here to view the list and instructions for using them outside RStudio. 


How to install R packages?

A variety of R packages are installed  however it is recommended that users install packages (newer and updated versions) in their own home directory.
Start interactive R session and install package using the command
install.packages('packagename')

Alternatively, you can add install.packages('packagename') within your R script. By default, R will try to install packages locally to ${HOME/x86_64-pc-linux-gnu-library. If you wish to use a different directory, then you need to set R_LIBS variable to point to that directory.

If you get an error installing packages locally, then use the command


install.packages('packagename',lib=Sys.getenv("R_LIBS"))

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