Short Introduction to R Language

What is R?

• Language for statistical computing tasks
• Free and open source software environment
• Different "command-line interaction" paradigm
• Widely supported
• Follows latest trends in industry and academia

R is a simple programming paradigm

• Command-Line Interface
  • Pipe-based statistics (command-line statistisc)
• Almost no-programming background is required
• Language is similar to proprietery S and S-plus
• Open source analog for SAS and SPSS like statistical tools

R is robust and widely supported

• Academia
  • Academia pushs lates updates as pacakges
  • Statistically heavy tasks
• Industry
  • Idustry is very motivated in hiring R-spcialist
• Volunteers and enthusiasts
  • Contributing to the community
  • Writing articles, blogs, answering questions

Latest trends in R

• Developer Tools that consider dest experiences existing
• Ability to parallelize statistical workload
• Web based IDE(Integrated development environment) version of RStudio

Integration with other tools

• Can be easily integrated with other tools
• Unix-way of performing tasks
  • Open-source
  • Comman-Line based interaction
• Example of integration: SAP HANA
  • What is SAP HANA?
  • Where SAP HANA is moving now
  • How R language and SAP HANA integrates

# R code example
x <- c(1,2,3,4,5,6)
y <- x^2
plot(lm(y ~ x))

Thank you for your attention!

This presentation was created with means of R language

References

• The R Project for Statistical Computing
• RStudio - Powerful IDE for R
• "Introduction to R", Michael Clark
• "An Introduction to R", Abecasis G.
• R Markdown — Dynamic Documents for R
• R (programming language) - Wikiw