Learn (WS 2016/2017)

The following materials support the course Basic data and decision analysis in R, taught at the University of Konstanz in Winter 2016/2017:unikn_logo

Course documents

  • Syllabus with current course description and links to various resources

Programming assignments

  • WPA01: Basic scalar and vector calculations, drawing samples from distributions
    (Oct. 31, 2016) | Answers (Nov. 01, 2016)
  • WPA02: Using numeric and logical indexing to select and change vector values
    (Nov. 07, 2016) | Answers (Nov. 08, 2016)
  • WPA03: Matrices and data frames
    (Nov. 14, 2016) | Answers (Nov. 14, 2016)
  • WPA04: Manipulating data frames, merging and aggregating data
    (Nov. 21, 2016) | Answers (Nov. 22, 2016)
  • WPA05: Basic plotting and managing color palettes
    (Nov. 28, 2016) | Answers (Nov. 29, 2016)
  • WPA06: Statistical hypothesis testing (1- and 2-sample tests)
    (Dec. 05, 2016) | Answers (Dec. 06, 2016)
  • WPA07: ANOVA and factorial designs
    (Dec. 12, 2016) | Answers (Dec. 13, 2016)
  • WPA08: Linear regression
    (Dec. 19, 2016) | Answers (Dec. 20, 2016)
  • WPA09: Functions and loops
    (Jan. 09, 2017) | Answers (Jan. 10, 2017)
  • WPA10: Data cleaning
    (Jan. 16, 2017) | Answers (Jan. 17, 2017)
  • WPA11: Classification decisions with fast and frugal trees (FFTs)
    (Jan. 23, 2017)

Templates