{"id":14067789,"url":"https://github.com/RealityBending/TemplateResults","last_synced_at":"2025-07-30T02:31:35.356Z","repository":{"id":108061187,"uuid":"334831678","full_name":"RealityBending/TemplateResults","owner":"RealityBending","description":"A template for a data analysis folder that can be easily exported as a webpage or as Supplementary Materials","archived":false,"fork":false,"pushed_at":"2021-08-02T00:54:41.000Z","size":33339,"stargazers_count":29,"open_issues_count":1,"forks_count":6,"subscribers_count":3,"default_branch":"main","last_synced_at":"2024-12-04T08:36:41.030Z","etag":null,"topics":["data","open-science","open-source","pdf","r","reproducible","rmarkdown","scripts","share","statistics","submit","supplementary-material","template","webpage","website","word"],"latest_commit_sha":null,"homepage":"https://realitybending.github.io/TemplateResults/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/RealityBending.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null}},"created_at":"2021-02-01T04:39:15.000Z","updated_at":"2024-08-25T20:18:04.000Z","dependencies_parsed_at":"2024-02-19T19:16:10.633Z","dependency_job_id":"bb2516cd-528a-4792-ba88-9f4b09d31868","html_url":"https://github.com/RealityBending/TemplateResults","commit_stats":null,"previous_names":[],"tags_count":1,"template":true,"template_full_name":null,"purl":"pkg:github/RealityBending/TemplateResults","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RealityBending%2FTemplateResults","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RealityBending%2FTemplateResults/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RealityBending%2FTemplateResults/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RealityBending%2FTemplateResults/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/RealityBending","download_url":"https://codeload.github.com/RealityBending/TemplateResults/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/RealityBending%2FTemplateResults/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267798625,"owners_count":24145727,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-30T02:00:09.044Z","response_time":70,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data","open-science","open-source","pdf","r","reproducible","rmarkdown","scripts","share","statistics","submit","supplementary-material","template","webpage","website","word"],"created_at":"2024-08-13T07:05:46.922Z","updated_at":"2025-07-30T02:31:34.659Z","avatar_url":"https://github.com/RealityBending.png","language":"R","funding_links":[],"categories":["R"],"sub_categories":[],"readme":"\u003c!-- \n!!!! IMPORTANT: run `source(\"utils/render.R\")` to publish instead of clicking on 'Knit'\n--\u003e\n\nIntroduction\n============\n\n![Build](https://github.com/RealityBending/TemplateResults/workflows/Build/badge.svg)\n[![Website](https://img.shields.io/badge/repo-Readme-2196F3)](https://github.com/RealityBending/TemplateResults)\n[![Website](https://img.shields.io/badge/visit-website-E91E63)](https://realitybending.github.io/TemplateResults/)\n[![Website](https://img.shields.io/badge/download-.docx-FF5722)](https://github.com/RealityBending/TemplateResults/raw/main/word_and_pdf/SupplementaryMaterials.docx)\n[![Website](https://img.shields.io/badge/see-.pdf-FF9800)](https://github.com/RealityBending/TemplateResults/blob/main/word_and_pdf/SupplementaryMaterials.pdf)\n\nThis is a template for a data analysis folder that can be easily\nexported as a\n[**webpage**](https://realitybending.github.io/TemplateResults/) or as\n**Supplementary Materials** (e.g., as a [**Word\ndocument**](https://github.com/RealityBending/TemplateResults/raw/main/word_and_pdf/SupplementaryMaterials.docx)\nor a\n[**PDF**](https://github.com/RealityBending/TemplateResults/blob/main/word_and_pdf/SupplementaryMaterials.pdf)).\n\nHow does it look like? Just like this! The README page of this\nrepository, alongside the\n[webpage](https://realitybending.github.io/TemplateResults/) and the\nword and PDF documents, were all created from the\n[index.Rmd](https://github.com/RealityBending/TemplateResults/blob/main/index.Rmd)\nfile.\n\nThis means you can easily **share your data analysis**, either by\nattaching the *PDF* or *Word* file to the publication (as\n**Supplementary Materials**), or by directly providing the URL of your\nGitHub repository: the readers can then enjoy your awesome open-access\nwork in a convenient and transparent way.\n\nFeatures\n--------\n\n-   [x] Automatically generates different types of document:\n    -   [**README\n        page**](https://github.com/RealityBending/TemplateResults/blob/main/README.md)\n    -   [**Published\n        website**](https://realitybending.github.io/TemplateResults/)\n    -   [**Word\n        document**](https://github.com/RealityBending/TemplateResults/raw/main/word_and_pdf/SupplementaryMaterials.docx)\n    -   [**PDF\n        document**](https://github.com/RealityBending/TemplateResults/blob/main/word_and_pdf/SupplementaryMaterials.pdf)\n-   [x] APA citations\n-   [x] Automatic citations and [reference\n    list](https://github.com/RealityBending/TemplateResults#package-references)\n    for all packages\n-   [x] Tidy organisation (separate files for independent analyses)\n-   [x] Great default configuration\n-   [x] And more!\n\n![](figures/demo.gif)\n\nInstallation\n------------\n\n-   **What is this?**\n\nThis repository is a template to set up a reproducible, convenient and\nshareable workflow for your data analysis. It consists of several\n[*Rmarkdown*](https://rmarkdown.rstudio.com/lesson-1.html) files\n(`.Rmd`), that allow you to have R code and text (markdown) in the same\ndocument. Importantly, these files can be transformed into other\ndocuments formats.\n\n-   **How to use this template?**\n\nDownload it ([**click here to\ndownload**](https://github.com/RealityBending/TemplateResults/archive/main.zip)),\nunzip it and edit. Alternatively, you click on the [**Use this\ntemplate**](https://github.com/RealityBending/TemplateResults/generate)\nbutton at the top of this screen to create a GitHub repository with all\nthe content copied (then you just need to clone the repo to your local\nmachine).\n\nThe main files you need to edit are the `.Rmd` files, that you can open\nwith some editor (e.g., [Rstudio](https://rstudio.com/)), and edit the\ntext and the R chunks of code.\n\n-   **How to upload it to a website?**\n\nIf your repo is not already connected to GitHub, then create a new\nrepository and upload all the content (so that it looks like this repo).\nThen, go to settings of the repo and enable **GitHub pages** (i.e., that\ngives you a webpage from an html stored on GitHub), and select the\n`docs/` folder as the location of the webpage. Indeed, rendering\n(knitting) the files will generate an “index.html” file in the `/docs/`\nfolder, which is used as the website. You can see an example at\n\u003chttps://realitybending.github.io/TemplateResults/\u003e.\n\n-   **To knit or not to knit**\n\nIn this repo, with have set up a [GitHub\naction](https://github.com/RealityBending/TemplateResults/blob/main/.github/workflows/website.yml)\nthat generates all the output files everytime someone commit to the\nrepository. This means that the final documents here are always\n“up-to-date” with the *Rmds* (as shown by the green badge). That said,\nyou can remove this GitHub action (just remove the\n`.github/workflows/website.yml` file) if you prefer to generate the\ndocuments manually only.\n\n-   **But I don’t want do upload all my data**\n\nIn that case, you’ll need to 1) deactivate (i.e., remove the action\nfile) the automatic rendering by GitHub (as no data will be stored on\nGitHub) and 2) mark the **data** folder as “to be ignored” (so that it\nwon’t be uploaded). This can be done by adding `/data/` to the\n[**.gitignore**](https://github.com/RealityBending/TemplateResults/blob/main/.gitignore)\nfile (that you can open with a notepad). This means that you can still\nstore the data here locally, and generate the documents accordingly, but\nthe data folder will be ignored by git and never uploaded to GitHub.\nThis way, you can still have a cool website, an open-access script, but\nthe data is safe with you. The only down side is that you have to build\nit manually (cannot use GitHub actions).\n\n-   **How to add references?**\n\nReferences have to be added in `bib` format in the\n[*utils/bibliography.bib*](https://github.com/RealityBending/TemplateResults/blob/main/utils/bibliography.bib)\nfile, and further referenced in the text like this\n`[@ludecke2019insight]` (Lüdecke, Waggoner, \u0026 Makowski, 2019).\n\n-   **I don’t like the Word (.docx) theme**\n\nThe theme for the word document is defined in the\n[\\*\\*Template\\_Word.docx](https://github.com/RealityBending/TemplateResults/tree/main/utils)\nfile, in the `/utils/` folder. You need to edit the “styles” (not just\nthe content, but the style itself) to your preference.\n\n-   **I have Python code**\n\nThanks to R’s possibilities when it comes to integration with Python,\nit’s super easy to enable it in your pipeline. Just uncomment the\n[Python installation\nline](https://github.com/RealityBending/TemplateResults/blob/main/utils/config.R#L24)\nin the `utils/config.R` file and you’re ready to go!\n\n-   **It doesn’t work / I have questions / I have ideas**\n\nJust [**open an\nissue**](https://github.com/RealityBending/TemplateResults/issues) and\nwe’ll be happy to assist ☺\n\nStructure\n---------\n\nMost files that you’ll need to create / edit will be written in\n[**rmarkdown**](https://rmarkdown.rstudio.com/lesson-1.html), which\nconsists of a mix of markdown text and R chunks of code.\n\nThe main file is named\n[**index.Rmd**](https://github.com/RealityBending/TemplateResults/blob/main/index.Rmd).\nHowever, to avoid having overly long files, the different (and\nindependent) analyses parts are actually split in other documents. For\ninstance, in this template example, the descriptive statistics section\nis in the\n[**1\\_descriptive.Rmd**](https://github.com/RealityBending/TemplateResults/blob/main/1_descriptive.Rmd)\nfile. As you can [see in the index\nfile](https://github.com/RealityBending/TemplateResults/blob/690f7947da0fc8ac85eaf6fb87fafeaa46fb3c50/index.Rmd#L89-L90),\nthis file is then integrated as a child document (i.e., it is merged).\nThis makes it very convenient to have a clear structure with\nwell-organized files, that are put together only when merged.\n\nRender and Publish\n------------------\n\nImportantly, in order to render all the files, do not Knit this document\nby pressing the ‘Knit’ button. If you do, it will create an output file\n(for instance `index.html`) in the root folder, alongside `index.Rmd`.\nThis is **not what we want**, as we want to keep the output files tidy\nin separate folders (for instance, the html version should be in the\n`/docs/` folder, as this is where the website will look for).\n\nThere an R script,\n[utils/render.R](https://github.com/RealityBending/TemplateResults/blob/main/utils/render.R),\nthat contains the lines to render everything in its correct location.\nSo, when you have the “index.Rmd” file opened (and your working\ndirectory is at its root), simply run **`source(\"utils/render.R\")`** in\nthe console (or the relevant lines in that file). This will run the\nrendering file and create all the files.\n\nContribution\n------------\n\nDo not hesitate to improve this template by updating, documenting, or\nexpanding it!\n\nPackages \u0026 Data\n===============\n\nPackages\n--------\n\nThis document was prepared on 2021-08-02.\n\n``` r\nlibrary(bayestestR)\nlibrary(parameters)\nlibrary(performance)\nlibrary(report)\nlibrary(see)\nlibrary(ggplot2)\n\nsummary(report::report(sessionInfo()))\n```\n\nThe analysis was done using the R Statistical language (v4.1.0; R Core\nTeam, 2021) on macOS Catalina 10.15.7, using the packages ggplot2\n(v3.3.5), stringr (v1.4.0), forcats (v0.5.1), tidyr (v1.1.3), readr\n(v2.0.0), dplyr (v1.0.7), rmarkdown (v2.9), tibble (v3.1.3), purrr\n(v0.3.4), parameters (v0.14.0.1), performance (v0.7.3.1), see (v0.6.4),\nbayestestR (v0.10.5), report (v0.3.5) and tidyverse (v1.3.1).\n\nData\n----\n\n``` r\ndf \u003c- read.csv(\"data/data.csv\")\n\ncat(paste(\"The data consists of\",\n          report::report_participants(df,\n                                      participants = \"Participant\",\n                                      age = \"Age\")))\n```\n\nThe data consists of 10 participants (Mean age = 29.9, SD = 0.5, range:\n\\[29.0, 30.91\\])\n\nNote that the chunks generating figures in the code below have some\narguments specified in their header, such as `fig.width` and\n`fig.height`, which controls the figure size. These were filled with an\neponym argument defined in\n[`utils/config.R`](https://github.com/RealityBending/TemplateResults/blob/main/utils/config.R#L26-L27).\nWe also set the resolution, i.e., `dpi`, to a low value so that the\nresulting file is lighter. But **don’t forget to crank this value up**\n(to 300-600) to get nice-looking results.\n\nDescriptive Stats\n=================\n\nNotice the `{.tabset}` tag after the section name. This will show the\nsubsections as different tabs (in the [html\nversion](https://realitybending.github.io/TemplateResults/#Descriptive_Stats)\nonly, because the other formats are static).\n\nPart 1\n------\n\nHere’s a cool plot:\n\n``` r\nggplot(df, aes(x=V1, y=V2, color=Participant)) + \n  geom_point() +\n  see::theme_modern()\n```\n\n![](figures/1_plot_scatter_basic-1.png)\n\nPart 2\n------\n\nThat’s another great plot:\n\n``` r\nplot(bayestestR::estimate_density(df[c(\"V1\", \"V2\")])) +\n  see::theme_blackboard()\n```\n\n![](figures/1_plot_density-1.png)\n\nPart 3\n------\n\nDid you ever hear the tragedy of Darth Plagueis The Wise? I thought not.\nIt’s not a story the Jedi would tell you. It’s a Sith legend. Darth\nPlagueis was a Dark Lord of the Sith, so powerful and so wise he could\nuse the Force to influence the midichlorians to create life… He had such\na knowledge of the dark side that he could even keep the ones he cared\nabout from dying. The dark side of the Force is a pathway to many\nabilities some consider to be unnatural. He became so powerful… the only\nthing he was afraid of was losing his power, which eventually, of\ncourse, he did. Unfortunately, he taught his apprentice everything he\nknew, then his apprentice killed him in his sleep. Ironic. He could save\nothers from death, but not himself.\n\nInferential Stats\n=================\n\nHere is another analysis that is contained in a separate file. Let’s\ncheck-out this linear regression model (note that, in the code chunk\nparameters, I multiplied `figheight` by 2 to have a taller plot):\n\n``` r\nmodel \u003c- lm(Petal.Length ~ Sepal.Length, data=iris)\nperformance::check_model(model)\n```\n\n![](figures/2_plot_model-1.png)\n\nFull Code\n=========\n\nThe full script of executive code contained in this document is\nreproduced here.\n\n``` r\n# Set up the environment (or use local alternative `source(\"utils/config.R\")`)\nsource(\"https://raw.githubusercontent.com/RealityBending/TemplateResults/main/utils/config.R\")  \n\nfast \u003c- FALSE  # Make this false to skip the chunks\n# This chunk is a bit complex so don't worry about it: it's made to add badges to the HTML versions\n# NOTE: You have to replace the links accordingly to have working \"buttons\" on the HTML versions\nif (!knitr::is_latex_output() \u0026\u0026 knitr::is_html_output()) {\n  cat(\"![Build](https://github.com/RealityBending/TemplateResults/workflows/Build/badge.svg)\n      [![Website](https://img.shields.io/badge/repo-Readme-2196F3)](https://github.com/RealityBending/TemplateResults)\n      [![Website](https://img.shields.io/badge/visit-website-E91E63)](https://realitybending.github.io/TemplateResults/)\n      [![Website](https://img.shields.io/badge/download-.docx-FF5722)](https://github.com/RealityBending/TemplateResults/raw/main/word_and_pdf/SupplementaryMaterials.docx)\n      [![Website](https://img.shields.io/badge/see-.pdf-FF9800)](https://github.com/RealityBending/TemplateResults/blob/main/word_and_pdf/SupplementaryMaterials.pdf)\")\n}\n# Let's include a demo GIF (this doesn't work in PDF documents)\nif (!knitr::is_latex_output()) {\n  knitr::include_graphics(\"figures/demo.gif\")\n}\nlibrary(bayestestR)\nlibrary(parameters)\nlibrary(performance)\nlibrary(report)\nlibrary(see)\nlibrary(ggplot2)\n\nsummary(report::report(sessionInfo()))\ndf \u003c- read.csv(\"data/data.csv\")\n\ncat(paste(\"The data consists of\",\n          report::report_participants(df,\n                                      participants = \"Participant\",\n                                      age = \"Age\")))\nreport::cite_packages(sessionInfo())\nggplot(df, aes(x=V1, y=V2, color=Participant)) + \n  geom_point() +\n  see::theme_modern()\nplot(bayestestR::estimate_density(df[c(\"V1\", \"V2\")])) +\n  see::theme_blackboard()\nmodel \u003c- lm(Petal.Length ~ Sepal.Length, data=iris)\nperformance::check_model(model)\n```\n\nPackage References\n==================\n\n``` r\nreport::cite_packages(sessionInfo())\n```\n\n-   H. Wickham. ggplot2: Elegant Graphics for Data Analysis.\n    Springer-Verlag New York, 2016.\n-   Hadley Wickham (2019). stringr: Simple, Consistent Wrappers for\n    Common String Operations. R package version 1.4.0.\n    \u003ca href=\"https://CRAN.R-project.org/package=stringr\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=stringr\u003c/a\u003e\n-   Hadley Wickham (2021). forcats: Tools for Working with Categorical\n    Variables (Factors). R package version 0.5.1.\n    \u003ca href=\"https://CRAN.R-project.org/package=forcats\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=forcats\u003c/a\u003e\n-   Hadley Wickham (2021). tidyr: Tidy Messy Data. R package version\n    1.1.3.\n    \u003ca href=\"https://CRAN.R-project.org/package=tidyr\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=tidyr\u003c/a\u003e\n-   Hadley Wickham and Jim Hester (2021). readr: Read Rectangular Text\n    Data. R package version 2.0.0.\n    \u003ca href=\"https://CRAN.R-project.org/package=readr\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=readr\u003c/a\u003e\n-   Hadley Wickham, Romain François, Lionel Henry and Kirill Müller\n    (2021). dplyr: A Grammar of Data Manipulation. R package version\n    1.0.7.\n    \u003ca href=\"https://CRAN.R-project.org/package=dplyr\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=dplyr\u003c/a\u003e\n-   JJ Allaire and Yihui Xie and Jonathan McPherson and Javier Luraschi\n    and Kevin Ushey and Aron Atkins and Hadley Wickham and Joe Cheng and\n    Winston Chang and Richard Iannone (2021). rmarkdown: Dynamic\n    Documents for R. R package version 2.9. URL\n    \u003ca href=\"https://rmarkdown.rstudio.com\" class=\"uri\"\u003ehttps://rmarkdown.rstudio.com\u003c/a\u003e.\n-   Kirill Müller and Hadley Wickham (2021). tibble: Simple Data Frames.\n    R package version 3.1.3.\n    \u003ca href=\"https://CRAN.R-project.org/package=tibble\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=tibble\u003c/a\u003e\n-   Lionel Henry and Hadley Wickham (2020). purrr: Functional\n    Programming Tools. R package version 0.3.4.\n    \u003ca href=\"https://CRAN.R-project.org/package=purrr\" class=\"uri\"\u003ehttps://CRAN.R-project.org/package=purrr\u003c/a\u003e\n-   Lüdecke D, Ben-Shachar M, Patil I, Makowski D (2020).\n    “Extracting,Computing and Exploring the Parameters of Statistical\n    Models using R.”*Journal of Open Source Software*, *5*(53), 2445.\n    \u003ca href=\"doi:10.21105/joss.02445\" class=\"uri\"\u003edoi:10.21105/joss.02445\u003c/a\u003e\n    (URL:\n    \u003ca href=\"https://doi.org/10.21105/joss.02445\" class=\"uri\"\u003ehttps://doi.org/10.21105/joss.02445\u003c/a\u003e).\n-   Lüdecke et al., (2021). performance: An R Package for Assessment,\n    Comparison and Testing of Statistical Models. Journal of Open Source\n    Software, 6(60), 3139.\n    \u003ca href=\"https://doi.org/10.21105/joss.03139\" class=\"uri\"\u003ehttps://doi.org/10.21105/joss.03139\u003c/a\u003e\n-   Lüdecke, Patil, Ben-Shachar, Wiernik, Waggoner \u0026 Makowski (2020).\n    Visualisation Toolbox for ‘easystats’ and Extra Geoms, Themes and\n    Color Palettes for ‘ggplot2’. CRAN. Available from\n    \u003ca href=\"https://easystats.github.io/see/\" class=\"uri\"\u003ehttps://easystats.github.io/see/\u003c/a\u003e\n-   Makowski, D., Ben-Shachar, M., \u0026 Lüdecke, D. (2019). bayestestR:\n    Describing Effects and their Uncertainty, Existence and Significance\n    within the Bayesian Framework. Journal of Open Source Software,\n    4(40), 1541.\n    \u003ca href=\"doi:10.21105/joss.01541\" class=\"uri\"\u003edoi:10.21105/joss.01541\u003c/a\u003e\n-   Makowski, D., Ben-Shachar, M.S., Patil, I. \u0026 Lüdecke, D. (2020).\n    Automated Results Reporting as a Practical Tool to Improve\n    Reproducibility and Methodological Best Practices Adoption. CRAN.\n    Available from\n    \u003ca href=\"https://github.com/easystats/report\" class=\"uri\"\u003ehttps://github.com/easystats/report\u003c/a\u003e.\n    doi: .\n-   R Core Team (2021). R: A language and environment for statistical\n    computing. R Foundation for Statistical Computing, Vienna, Austria.\n    URL\n    \u003ca href=\"https://www.R-project.org/\" class=\"uri\"\u003ehttps://www.R-project.org/\u003c/a\u003e.\n-   Wickham et al., (2019). Welcome to the tidyverse. Journal of Open\n    Source Software, 4(43), 1686,\n    \u003ca href=\"https://doi.org/10.21105/joss.01686\" class=\"uri\"\u003ehttps://doi.org/10.21105/joss.01686\u003c/a\u003e\n\nReferences\n==========\n\nLüdecke, D., Waggoner, P. D., \u0026 Makowski, D. (2019). Insight: A unified\ninterface to access information from model objects in r. *Journal of\nOpen Source Software*, *4*(38), 1412.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FRealityBending%2FTemplateResults","html_url":"https://awesome.ecosyste.ms/projects/github.com%2FRealityBending%2FTemplateResults","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2FRealityBending%2FTemplateResults/lists"}