Analysis code & Data for the combined Cogcarsim studies 2017+2019

CODE--------R markdown script 'cogcarsim_analyses.Rmd' will recompute the analyses from Palomäki et al 2021, “The Link Between Flow and Performance is Moderated by Task Experience”. Precompiled HTML output of this script is also provided.<br>To run the script, download all contents of this Figshare object, load cogcarsim_analyses.Rmd in RStudio and knit (press Ctrl+Shift+k on Linux).<br>Note also that to export figures, uncomment the corresponding lines of code (e.g. line 116: #ggsave(“figure4.pdf”, width=12, height=6)<br>DATA-------SQL databases cogcarsim2_2017.db &amp; cogcarsim2_2019.db contain the CogCarSim log data of 18 subjects, 9 from 2017 and 9 from 2019.<br>background_2017.csv &amp; background_2019.csv contain original profile data on 18 subjects. background_cogcarsim_2017.csv &amp; background_cogcarsim_2019.csv contain cleaned-up, mutually compatible profile data on 18 subjects.<br>fss_data_2017.csv &amp; fss_data_2019.csv contain Flow Short Scale self-report data on 18 subjects. <br>fss_learning.csv combines them and adds variables on learning derived from models fitted to data from the SQL database files. This file is generated by the accompanying R code cogcarsim_analyses.R