This wiki explains the structure of the **Data, Analysis, and Figures** component. The component contains one main folder, namely **RProject**. **** **If you want to reproduce the entire analysis, I recommend you download that folder as a ZIP file, open the R_Project.Rproj file and then select the Rmarkdown files from the Analysis Code folder. See below for an explantion.** **** Within this folder are the following subfolders. ### Analysis Reports This folder contains five HTML files. These five files report on the power simulation for Experiment 1; data processing and analysis for Experiment 1; data processing and analysis for Experiment 2; additional exploratory analyses after receiving peer reviews; and the plots generated from the data of both experiments. The files report every single step I took from **raw data to final analysis**. Each step also contains annotations so that readers can go through the entire process. The analysis files for Experiment 1 and Experiment 2 also contain explanations of the variable names and what they mean. ### Analysis Code This folder contains five Rmarkdown files that I used to generate the HTML files in the **Analysis Reports** folder. Note that I use the package `pacman` to load packages, but recently it seems this package is being discontinued (at least it cannot be called from within R). I commented out all commands that install packages (`p_load`), so if you want to run the file yourself, you might need to manually install all packages. As I say in the analysis reports, if you find a more efficient way to code something (and there must be many...), I'd be happy if you contacted me. I'm always eager to improve my code. Please also note that I didn't know the `tidyverse` until Experiment 2. ### Data **** **For an explanation of the variable and file names, please see the analysis reports.** **** This folder contains the data for the power simulation for Experiment 1, for Experiment 1, and for Experiment 2. For the two experiments, there are two folders each: **Raw Data** and **Processed Data**. **Raw Data** contains the output from the Python scripts. The TXT files are data from all participants concatenated. For the individual, single files of each participant plus Python code to concatenate them, see the ZIP files **Single Files**. **Processed Data** contains the processed raw data files that are ready to be used for the final analysis plus the workspace for each Experiment. For **Power Simulation**, you see the raw data plus the workspace for the simulation. The simulations took quite some time (more than three days), which is why I loaded this workspace when creating the report for the simulation. ### Output This folder contains all figures. The figures visualizing data, such as violin plots and bar charts, are created with the **Plots.Rmd** file in **Analysis Code**. Figures not based on data I created in Power Point. Those were not created with R, so technically they're not output, but I thought it was easiest to have all figures in one place.