Introduction to R

  1. Basics (Exercise on Mon., 16.8., 11:00)
    • Installing R, RStudio, Packages
    • Data Types, Numbers, Vectors, Matrices, Arrays.
  2. More on Data Types (Exercise on Tue., 17.8., 11:00)
    • Missings, Characters, Factors.
    • Lists, Data frames
    • Randomness
  3. Data and Functions (Exercise on Wed., 18.8., 11:00)
    • Example datasets.
    • Functions.
    • Closures.
  4. Graphs and Files (Exercise on Mon., Thu. 19.8., 11:00)
    • Introduction to Graphs.
    • Graphs for Univariate and Bivarate Data.
    • Files, Reading and Writing Data.
  5. Control Structures, Structuring Data (Exercise on Fri., 20.8., 11:00)
    • Pipes
    • Conditions, Loops,Repetition.
    • Structuring Data, Grouping, Summarising, Mutating.
    • Selecting Variables, Sorting, Joining, Reshaping Data.
    • Tables, Regression.
Please choose a chapter:

Chapter: