Introduction R

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See this YouTube video, to see this session as a video.

Learning objectivesFor teachers

• see a first overview of the R programming language

• see the overview of the course

• hear about ‘the tarbal with exercises’

Course learning objectives

• use the module system to load R

• use the module system to load site-installed R packages

• find out which versions of R and packages are installed

• run R scripts

• write a batch script for running R

• install R packages from CRAN

• see how to install other R packages yourself

• start batch jobs

• run RStudio

on HPC2N, UPPMAX, or LUNARC

Course non-goals

• improve R coding skills

• use R on other HPC clusters

First overview of R

R is a programming language for statistical computing and data visualization (from Wikipedia).

The main general R resources are:

• The R homepage

• The official R documentation

• The CRAN homepage

R is used in many NAISS centres:

• here is an overview of 6 NAISS centres and their R documentation

• here is an (incomplete) overview of R courses being taught at NAISS

Schedule

Time	Topic	Teacher(s)
9:00	(optional) First login	BB + PO + RB
9:45	Break	.
10:00	Introduction	RB
10:10	Syllabus	RB
10:20	Load modules and run	RB
10:45	Break	.
11:00	Packages	BB
11:30	Isolated environments	BB
12:00	Lunch	.
13:00	Batch	BB
13:30	Parallel	PO
14:15	Break	.
14:30	Simultaneous session	.
.	HPC2N: ThinLinc, RStudio	PO
.	LUNARC: On-Demand, RStudio	RP
.	UPPMAX: Interactive, RStudio	RB
15:15	Break	.
15:30	Machine learning	BB or PO
16:00	Summary and evaluation	RB
16:15	Done	.

• RB: suggest to make ‘Batch’ 15 minutes longer and remove a session, in the next course iteration

Exercises used in the course

The course uses a so-called tarball files with exercises as used in this course.

See here how to get and decompress it.

In the ‘Load modules and run’ session, there is the time to do so.