• Motivation to learn R
• R basics
  • Using R as a calculator
  • Creating and manipulating objects in R
  • Loading data sets into R
• Data manipulation and exploration
  • Plots
  • Linear models

Slides available at https://ThiagoROliveira.com/IntroToR

Statistical packages for data analysis

Stuff that you can do using:

• MS Excel
• SPSS
• Stata
• SAS
• Matlab
• …

But using the R programming language

Because:

• R is free
• R is open source
• R is very versatile
• R is very good for data visualisation
• R is a programming language

On the other hand:

• R has a steep(er) learning curve
• R is a programming language

With R, you can…

• Do data analysis
• Use multiple data frames simultaneously
• Analyse different kinds of data (e.g., text, network, spatial)
• Collect data from the internet (webscrapping)
• Write your own functions
• Write your own packages

R is getting popular…

To obtain R, visit https://cran.r-project.org/

• CRAN: The Comprehensive R Archive Network
• Select the link that matches your operating system and then follow the installation instructions

Highly recommended: use RStudio

• Open-source programme that facilitates the use of R
• Visit http://www.rstudio.com/ and follow the download and installation instructions