PSRC.analysis

How to download and run locally

This research compendium has been developed using the statistical programming language R. To work with the compendium, you will need installed on your computer the R software itself and optionally* RStudio Desktop.

The statistical analysis in this compendium also heavily relies on the proprietary software Mplus. You will need an Mplus license and installation on your computer to run the complete analysis. Mplus version 8.6 was used to run this analysis, although using a later version should not cause any issues.

1. Clone this repository
2. Clone the other repository called PSRCData, which contains the data used and modifications made to the data for usability.
3. In RStudio*, open the PSRCData .Rproj file (NOT PSRC.analysis yet)
4. Click the “Build” tab in the “Environment, History, Connections …” panel in RStudio*, then click “Install and Restart”.
5. Now, open the PSRC.analysis .Rproj file in RStudio
6. Run devtools::install() to ensure you have the packages this analysis depends on (also listed in the DESCRIPTION file).
7. Run rrtools::use_analysis(). If asked, go head and overwrite references.bib and paper.Rmd.

You are now set up to run the .R files in the analysis directory!

* If you are not using RStudio Desktop, I cannot advise you on how to build the PSRCData package.

Contents

The analysis directory contains:

• 📁 data: Data used in the analysis. This folder is not in the GitHub repository, but it will be created when you run rrtools::use_analysis()
• 📁 figures: Plots and other illustrations.
• 📁 Mplus: All syntax of models run in Mplus.
• 📁 unneeded_unfinished: Scripts that I am not done writing and cannot yet run, or things I have removed from the main analysis workflow, but I want to keep a record of.
• 📜 .R files: Files to run the analysis, named to indicate the the order to run them in. Please see section .R file naming protocol for a description of the numbering/naming system.

Also in the analysis directory are three sub-directories that are not used in this project. During the initiation of this project, the function rrtools::use_analysis() is run. This function creates the file structure used in this project. They are included because they will be automatically created when you download and run this project locally.

• 📁 paper: R Markdown source document for manuscript. If used, this folder would include code to reproduce the figures and tables generated by the analysis. It also has a rendered version, paper.docx, suitable for reading (the code is replaced by figures and tables in this file).
• 📁 supplementary-materials: Would contain Supplementary materials including notes and other documents prepared and collected during the analysis.
• 📁 templates: Contains files to set reference list/citation style and to style the output of paper.Rmd

.R file naming protocol

Below is the format used:

##_##_descriptive-name.R

Underscores (_) separate the sections of the file name. Each section of the file name has a purpose:

• First number: category of work being done in the file

  Number	Description
  01	Data cleaning, preparation, optimal matching/clustering processes
  02	Data preparation for running models with Mplus
  03	Interfacing between R and Mplus
  9#	Scripts for supplementary materials.

• Second number: file run order within each category. Important for possible dependencies between files.

• Descriptive name: describes what each file does in words separated by dashes (-) and underscores (_)

Licenses

Text and figures : CC-BY-4.0

Code : See the DESCRIPTION file

Contributions

We welcome contributions from everyone. Before you get started, please see our contributor guidelines. Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.