4 Tidy

The final data preparation step is to tidy the raw data files by sourcing the task_raw.R scripts. These scripts convert the messy task.txt files to tidy task_raw.csv files.

There is a task_raw.R script for every task in the study. You can use the mainscript.R to run all the task_raw.R scripts.

See Jason or other grad students/post-docs if you are not familiar with using RStudio.

  1. Open the research study’s RProject file (.Rproj) located at:

    Georgia Institute of Technology / Engle Lab - Documents / Data Collection / [Study Name] / [StudyName].Rproj

  2. Open the file mainscript.Rmd

    Use the File Window pane in RStudio (in the bottom right quadrant) to find the mainscript file

  3. Scroll down to the Data Preparation: messy to tidy raw data section.

  4. Run the R code chunk by selecting the green arrow icon at the top right.

  5. If any errors occur (it will abort the process and a red line will be displayed on the line of code where the error occurred) get Jason or other grad students/post-docs.

There should be an updated _raw.csv file for each task located in the Data Files / Raw Data folder