r-project.org

R

• R is a script language
• Version 1.0 from 2000 (concept dates back to 1974)
• Original Aim: Statistical Analysis
• Designed for data analysis and “interactive” use
• Download: r-project.org

R

What you see when you start R

R Code

data <- c(12, 45, 65, 1, 3, 87)
mean(data)

data <- data + 5
sort(data)

R Code

data <- c(12, 45, 65, 1, 3, 87)
mean(data)

[1] 35.5

data <- data + 5
sort(data)

[1]  6  8 17 50 70 92

Why R?

• Easy to get into (although it might not feel that way at first)
• Designed for solving scientific problems
• Big community - Getting help is really easy.
• Open-source, active development
• Used in science, industry, healthcare, NGOs, …

Why R?

The R package structure has been the key addition to the software - Chambers (2020)

• Expandable with packages provided by other R users
  • Specialized analysis for specific fields
  • Machine Learning
  • Medicine
  • Writing Books
  • …

Why R?

(Wickham2023?) : R for datascience

Rstudio

• Integrated Development Environment (IDE)
• Makes R “convenient” to use
• Text Editor + R Console
• Project Environments, Package Management, Help Pages, Plot Viewer, File Browser …

References

Chambers, John, M. 2020. “S, R, and Data Science.” The R Journal 12 (1): 462. https://doi.org/10.32614/RJ-2020-028.