Programming/R
From HPC
Contents
Programming Details
R is a programming language and software environment for statistical analysis, graphics representation and reporting.
R is freely available under the GNU General Public License, and can be loaded as a module on Viper (with Linux), Windows (PC) and Mac.
Programming example
x <- c(151, 174, 138, 186, 128, 136, 179, 163, 152, 131) y <- c(63, 81, 56, 91, 47, 57, 76, 72, 62, 48) # Apply the lm() function. relation <- lm(y~x) print(relation)
Modules Available
The following modules are available:
- module add R/3.3.0
Compilation
The program is interpreted by the R runtime program, so compilation does not apply here.
Interactive Mode
[username@login01 ~]$ module add R/3.3.0 [username@login01 ~]$ R R version 3.3.0 (2016-05-03) -- "Supposedly Educational" Copyright (C) 2016 The R Foundation for Statistical Computing Platform: x86_64-pc-linux-gnu (64-bit) R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. Natural language support but running in an English locale R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. >
Libraries
To show the libraries included type ( within R ) the command : library()
Packages in library ‘/trinity/clustervision/CentOS/7/apps/R/3.3.0/lib64/R/library’:
base The R Base Package
boot Bootstrap Functions (Originally by Angelo Canty
for S)
class Functions for Classification
cluster "Finding Groups in Data": Cluster Analysis
Extended Rousseeuw et al.
codetools Code Analysis Tools for R
colorspace Color Space Manipulation
compiler The R Compiler Package
datasets The R Datasets Package
dichromat Color Schemes for Dichromats
digest Create Compact Hash Digests of R Objects
foreign Read Data Stored by Minitab, S, SAS, SPSS,
Stata, Systat, Weka, dBase, ...
ggplot2 Create Elegant Data Visualisations Using the
Grammar of Graphics
Installing Additional Libraries
Batch Mode
[username@login01 ~]$ module add R/3.3.0 [username@login01 ~]$ Rscript myprogram.rsc "Hello World"
Further Information
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