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πŸ“Š 🌐 πŸ§‘β€πŸ« Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

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Program Evaluation for Public Service

PMAP 8521 β€’ Spring 2024
Andrew Heiss β€’ Andrew Young School of Policy Studies β€’ Georgia State University


Quarto + {targets} + {renv} + {xaringan} = magic! πŸͺ„


How to build the site

  1. Install RStudio version 2022.07.1 or later since it has a Quarto installation embedded in it. Otherwise, download and install Quarto separately.
  2. Open evalsp24.Rproj to open an RStudio Project.
  3. If it’s not installed already, R should try to install the {renv} package when you open the RStudio Project for the first time. If you don’t see a message about package installation, install it yourself by running install.packages("renv") in the R console.
  4. Run renv::restore() in the R console to install all the required packages for this project.
  5. Run targets::tar_make() in the R console to build everything.
  6. πŸŽ‰ All done! πŸŽ‰ The complete website will be in a folder named _site/.

{targets} pipeline

I use the {targets} package to build this site and all its supporting files. The complete pipeline is defined in _targets.R and can be run in the R console with:

targets::tar_make()

The pipeline does several major tasks:

  • Create supporting data files: The problem sets and examples I use throughout the course use many different datasets that come prepackaged in R packages, I downloaded from sources online, or that I generated myself. To make sure I and my students are using the latest, most correct datasets, the functions in R/tar_data.R save and/or generate these datasets prior to building the website.

  • Compress project folders: To make it easier to distribute problem sets and in-class activities to students, I compress all the folders in the /projects/ folder so that students can download and unzip a self-contained RStudio Project as a .zip file. These targets are dynamically generated so that any new folder that is added to /projects/ will automatically be zipped up when running the pipeline.

  • Render xaringan slides to HTML and PDF: Quarto supports HTML-based slideshows through reveal.js. However, I created all my slides using {xaringan}, which is based on remark.js and doesn’t work with Quarto. Since (1) I recorded all the class videos using my {xaringan} slides with a fancy template I made, and (2) I don’t want to recreate my fancy template in reveal.js yet, I want to keep using {xaringan}.

    The pipeline dynamically generates targets for all the .Rmd files in /slides/ and renders them using R Markdown rather than Quarto.

    The pipeline then uses {renderthis} to convert each set of HTML slides into PDFs.

  • Build Quarto website: This project is a Quarto website, which compiles and stitches together all the .qmd files in this project based on the settings in _quarto.yml. See the Quarto website documentation for more details.

  • Upload resulting _site/ folder to my remote server: Quarto places the compiled website in a folder named /_site/. The pipeline uses rsync to upload this folder to my personal remote server. This target will only run if the UPLOAD_WEBSITES environment variable is set to TRUE, and it will only work if you have an SSH key set up on my personal server, which only I do.

The complete pipeline looks like this:

(This uses mermaid.js syntax and should display as a graph on GitHub. You can also view it by pasting the code into https://mermaid.live.)

graph LR
  style Graph fill:#FFFFFF00,stroke:#000000;
  subgraph Graph
    direction LR
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    x04215792a9a4d36b(["copy_barrels_rct"]):::queued --> x41092a7251862a9e(["copy_data"]):::queued
    xbbb6d7ed9a6f640a(["copy_eitc"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    xf17ad1e9c3822d18(["copy_evaluation"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    xf812cd9b8b5444a5(["copy_food_health_politics"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    xd2260b533f1829cb(["copy_monthly_panel"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    x2a5bb41380dcc5b0(["copy_penguins"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    xa7f6f0c1b16f542a(["copy_plot_barrel_dag_obs"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    x6271c0b6a170e94e(["copy_plot_barrel_dag_rct"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    x9c50e551b1b09085(["copy_public_housing"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    x0897796b858a5b3d(["copy_wage"]):::skipped --> x41092a7251862a9e(["copy_data"]):::queued
    x9061f97ff2027ff8(["data_attendance"]):::skipped --> xb453b5ae08dcaee7(["build_data"]):::queued
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    xcd2bd51d3f2880dc(["data_bed_nets_real"]):::queued --> xb453b5ae08dcaee7(["build_data"]):::queued
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    xa3d8306cecf136f4(["data_penguins"]):::skipped --> xb453b5ae08dcaee7(["build_data"]):::queued
    x676cecdcd5eb7813(["data_plot_barrel_dag_obs"]):::skipped --> xb453b5ae08dcaee7(["build_data"]):::queued
    xc72ce427df7cb6d6(["data_plot_barrel_dag_rct"]):::skipped --> xb453b5ae08dcaee7(["build_data"]):::queued
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    x41092a7251862a9e(["copy_data"]):::queued --> x02abe5443edb9276(["zip_proj_problem_set_3"]):::queued
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    x41092a7251862a9e(["copy_data"]):::queued --> xe0f43c7a90683afd(["zip_proj_problem_set_4"]):::queued
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    x41092a7251862a9e(["copy_data"]):::queued --> x386282c1d1f08d3b(["zip_proj_problem_set_8"]):::queued
    x724ac806b95c3a65["proj_problem_set_8"]:::queued --> x386282c1d1f08d3b(["zip_proj_problem_set_8"]):::queued
    xb453b5ae08dcaee7(["build_data"]):::queued --> x10f2a6c741c41a02(["zip_proj_problem_set_9"]):::queued
    x41092a7251862a9e(["copy_data"]):::queued --> x10f2a6c741c41a02(["zip_proj_problem_set_9"]):::queued
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    xeb37004f896ce8c2(["all_zipped_projects"]):::queued --> x7aa56383a054e8ba(["site"]):::queued
    x4d31f5a49d5ae49f(["schedule_ical_file"]):::queued --> x7aa56383a054e8ba(["site"]):::queued
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  end
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The fonts used throughout the site are Fira Sans Condensed (for headings and titles) and Barlow (for everything else).

The colors for the site and hex logo come from a palette of 8 colors generated from the viridis inferno color map:

viridisLite::viridis(8, option = "inferno", begin = 0.1, end = 0.9)

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Text and figures: All prose and images are licensed under Creative Commons (CC-BY-NC 4.0)

Code: All code is licensed under the MIT License.

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πŸ“Š 🌐 πŸ§‘β€πŸ« Website for graduate-level course on program evaluation and causal inference using R, built with Quarto

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