{"id":13858136,"url":"https://github.com/mgimond/tukeyedar","last_synced_at":"2026-01-24T18:14:18.540Z","repository":{"id":54750966,"uuid":"115355439","full_name":"mgimond/tukeyedar","owner":"mgimond","description":"An R package of Tukey inspired exploratory data analysis functions","archived":false,"fork":false,"pushed_at":"2025-08-01T14:51:34.000Z","size":141061,"stargazers_count":13,"open_issues_count":3,"forks_count":1,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-08-01T16:34:46.574Z","etag":null,"topics":["eda","r","tukey"],"latest_commit_sha":null,"homepage":"https://mgimond.github.io/tukeyedar/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"other","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/mgimond.png","metadata":{"files":{"readme":"README.Rmd","changelog":"NEWS.md","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,"zenodo":null}},"created_at":"2017-12-25T18:08:20.000Z","updated_at":"2025-08-01T14:34:15.000Z","dependencies_parsed_at":"2022-08-14T01:40:39.450Z","dependency_job_id":"334fd7c0-d0ab-4c70-93ac-7c02afe3d914","html_url":"https://github.com/mgimond/tukeyedar","commit_stats":null,"previous_names":[],"tags_count":11,"template":false,"template_full_name":null,"purl":"pkg:github/mgimond/tukeyedar","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgimond%2Ftukeyedar","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgimond%2Ftukeyedar/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgimond%2Ftukeyedar/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgimond%2Ftukeyedar/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/mgimond","download_url":"https://codeload.github.com/mgimond/tukeyedar/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/mgimond%2Ftukeyedar/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28733719,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-24T17:51:25.893Z","status":"ssl_error","status_checked_at":"2026-01-24T17:50:48.377Z","response_time":89,"last_error":"SSL_read: unexpected eof while reading","robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":false,"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":["eda","r","tukey"],"created_at":"2024-08-05T03:01:57.866Z","updated_at":"2026-01-24T18:14:18.533Z","avatar_url":"https://github.com/mgimond.png","language":"R","funding_links":[],"categories":["R"],"sub_categories":[],"readme":"---\noutput: github_document\nbibliography: ref.bib  \n---\n\n\u003c!-- README.md is generated from README.Rmd. Please edit that file --\u003e\n\n```{r, include = FALSE}\nknitr::opts_chunk$set(\n  collapse = TRUE,\n  comment = \"#\u003e\",\n  fig.path = \"man/figures/README-\",\n  out.width = \"100%\"\n)\n```\n\n# tukeyedar\n\n\n\u003c!-- badges: start --\u003e\n[![Lifecycle:\nexperimental](https://img.shields.io/badge/lifecycle-experimental-orange.svg)](https://lifecycle.r-lib.org/articles/stages.html#experimental)\n[![R-CMD-check](https://github.com/mgimond/tukeyedar/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/mgimond/tukeyedar/actions/workflows/R-CMD-check.yaml)\n\u003c!-- badges: end --\u003e\n\nThe `tukeyedar` package houses data exploration tools. Many functions are inspired by work published by\n@eda1977, @understanding_eda1983, @applied_eda1981, and @visdata1993. \n\n\u003e This package was initially developed for an introductory course in Exploratory Data Analysis (EDA). As such, many of its functions have not undergone the rigorous testing and validation typically required for research or production use. Users are advised to exercise caution and verify results independently before applying the package in critical or high-stakes contexts. \n\n## Installation\n\nThe package is available from [GitHub](https://github.com/mgimond/tukeyedar/). It can be installed using the following command:\n\n```{r eval = FALSE}\ninstall.packages(\"remotes\")\nremotes::install_github(\"mgimond/tukeyedar\")\n```\n\nNote that the vignettes may not be automatically generated with the\nabove command, however, the vignettes are available on this website\n(see next section). If you want a local version of the vignettes, add\nthe `build_vignettes = TRUE` parameter.\n\n```{r eval = FALSE}\nremotes::install_github(\"mgimond/tukeyedar\", build_vignettes = TRUE)\n```\n\nIf, for some reason the vignettes are not created, you might want to\nre-install the package with the `force=TRUE` parameter.\n\n```{r eval = FALSE}\nremotes::install_github(\"mgimond/tukeyedar\", build_vignettes = TRUE, force=TRUE)\n```\n\n## Vignettes\n\nIt’s strongly recommended that you read the vignettes. These can be accessed from this website:\n\n-   [A detailed rundown of the resistant line function](https://mgimond.github.io/tukeyedar/articles/RLine.html)\n-   [The median polish](https://mgimond.github.io/tukeyedar/articles/polish.html)\n-   [The empirical QQ plot](https://mgimond.github.io/tukeyedar/articles/qq.html)\n-   [The symmetry QQ plot](https://mgimond.github.io/tukeyedar/articles/symqq.html)\n-   [The residual-fit spread plot](https://mgimond.github.io/tukeyedar/articles/rfs.html)\n\nIf you chose to have the vignettes locally created when you installed the package, then you can view them locally via `vignette(\"RLine\", package = \"tukeyedar\")`. If you use a dark themed IDE, the vignettes may not render very well so you might opt to view them in a web browser via the functions `RShowDoc(\"RLine\", package = \"tukeyedar\")`.\n\n## Using the `tukeyedar` functions\n\nAll functions start with `eda_`. For example, to generate a three point\nsummary plot of the `mpg` vs. `disp` from the `mtcars` dataset, type:\n\n```{r, fig.height=2.6, fig.width = 3.2, eval=FALSE}\nlibrary(tukeyedar)\neda_3pt(mtcars, disp, mpg)\n```\n\nNote that most functions are *pipe* friendly. For example:\n\n```{r eval=FALSE}\n# Using R \u003e= 4.1\nmtcars |\u003e  eda_3pt(disp, mpg)\n\n# Using magrittr (or any of the tidyverse packages)\nlibrary(magrittr)\nmtcars %\u003e% eda_3pt(disp, mpg)\n```\n\n------------------------------------------------------------------------\n\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmgimond%2Ftukeyedar","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmgimond%2Ftukeyedar","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmgimond%2Ftukeyedar/lists"}