This tutorial is about getting to know some basic operations in the R statistical programming environment. Most analyses will be conducted in the RStudio graphical user interface to R and also in the Jamovi (SPSS like) environment.

The course homepage is located here: https://homepages.tuni.fi/petri.nokelainen/mmx9120/.

1. Basic data operations

R session 1:

Rmd Statistics_R_01.Rmd (Download this file and open in RStudio)
Data dfttu_wide_cross.txt (Download this .txt file into same folder than “Statistics_R_01.Rmd”)
Output in HTML Statistics_R_01.html

2. Descriptive statistics and plots

R session 2:

Rmd Statistics_R_02.Rmd (Download this file and open in RStudio)
Data dfttu_wide_cross_complete_final2.txt (Download this .txt file into same folder than “Statistics_R_02.Rmd”)
Output in HTML Statistics_R_02.html

4. Assignment

Seek answers to the questions below by looking at the examples of "R session 3" Statistics_R_03.Rmd file. Use the same data (dfttu_wide_cross_complete_final2.txt) as in that file. You may use RStudio/RMarkdown or Jamovi to complete this assignment. Return the completed assignment as .Rmd code or Jamovi output (as PDF).

Q1: Are there differences in deep approach to learning (variable "deep") or organised approach to studying (variable "organised") between mathematically low, medium and high achieving students (variable "score3class"")?

Q2: Are there differences in "deep" or "organised" between students in the control (variable "group", value=0) and intervention (variable "group", value=1) groups?