{"id":16275825,"url":"https://github.com/dicook/latinr","last_synced_at":"2025-08-17T08:06:46.927Z","repository":{"id":200220555,"uuid":"705070207","full_name":"dicook/LatinR","owner":"dicook","description":"Materials for workshop during LatinR 2023","archived":false,"fork":false,"pushed_at":"2023-10-19T10:22:46.000Z","size":89183,"stargazers_count":4,"open_issues_count":0,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-04-04T09:36:07.647Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://dicook.github.io/LatinR","language":"JavaScript","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc0-1.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/dicook.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","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,"publiccode":null,"codemeta":null}},"created_at":"2023-10-14T23:50:55.000Z","updated_at":"2023-11-01T02:46:25.000Z","dependencies_parsed_at":null,"dependency_job_id":"196a4367-39da-4e1b-88a4-db74b2fad4e9","html_url":"https://github.com/dicook/LatinR","commit_stats":null,"previous_names":["dicook/latinr"],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/dicook/LatinR","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dicook%2FLatinR","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dicook%2FLatinR/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dicook%2FLatinR/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dicook%2FLatinR/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/dicook","download_url":"https://codeload.github.com/dicook/LatinR/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/dicook%2FLatinR/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":270820793,"owners_count":24651534,"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":"2025-08-17T02:00:09.016Z","response_time":129,"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":[],"created_at":"2024-10-10T18:36:42.475Z","updated_at":"2025-08-17T08:06:46.900Z","avatar_url":"https://github.com/dicook.png","language":"JavaScript","funding_links":[],"categories":[],"sub_categories":[],"readme":"# LatinR: Creating data plots for effective decision-making using statistical inference with R\n\nInstructor: Professor Di Cook, Department of Econometrics and Business Statistics, Monash University\n\nWebsite: [https://dicook.github.io/LatinR](https://dicook.github.io/LatinR)\n\n## Structure of tutorial\n\n- Review of making effective plots using ggplot2's grammar of graphics:\n    - Organising your data to enable mapping variables to graphical elements, \n    - Common plot descriptions as scripts,\n    - Do's and don'ts following cognitive perception principles.\n- Making decisions and inferential statements based on data plots\n    - What is your plot testing? Determining the hypothesis based on the type of plot.\n    - Creating null samples to build lineups for comparison and testing.\n    - Conducting a lineup test using your friends to determine whether what you see is real or spurious, and to determine the best design for your plot.\n\nBackground: Participants should have a good working knowledge of R, and tidy verse, and some experience with ggplot2. Familiarity with the material in R4DS (https://r4ds.hadley.nz) is helpful.\n\n## Course Schedule\n\n| time | topic |\n|------|-------|\n|1:40-1:55|\tWhy, philosophy and benefits|\n|1:55-2:15|\tOrganising data to map variables to plots|\n|2:15-2:45|\tMaking a variety of plots|\n|2:45-3:10|\tDo but don’t, and cognitive principles|\n|3:10-3:40|\tCOFFEE BREAK|\n|3:40-4:00|\tWhat is your plot testing?|\n|4:00-4:15|\tCreating null samples|\n|4:15-4:45|\tConducting a lineup test|\n|4:45-5:00|\tTesting for best plot design|\n\n[Session 1 Slides](https://dicook.github.io/LatinR/slides1.html)\n\n[Session 2 Slides](https://dicook.github.io/LatinR/slides2.html)\n\n[Zip file of materials](https://dicook.github.io/LatinR/vis-tutorial.zip)\n\n## Getting started\n\n1. You should have a reasonably up to date version of R and R Studio, eg RStudio RStudio 2023.06.2 +561 and R version 4.3.1 (2023-06-16). \n```\ninstall.packages(c(\"ggplot2\", \"tidyr\", \"dplyr\", \"readr\", \"nullabor\", \"colorspace\", \"palmerpenguins\", \"broom\"))\n```\n\n2. Download the [Zip file of materials](https://dicook.github.io/LatinR/vis-tutorial.zip) to your laptop, and unzip it. \n\n3. Open your RStudio be clicking on `tutorial.Rproj`. \n\nThere might be a few more packages ot install to run various parts.\n\nGitHub repo with all materials is \n[https://github.com/dicook/LatinR](https://github.com/dicook/LatinR).\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdicook%2Flatinr","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fdicook%2Flatinr","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fdicook%2Flatinr/lists"}