{"id":30877461,"url":"https://github.com/vusaverse/vvdoctor","last_synced_at":"2025-09-08T04:10:18.479Z","repository":{"id":180078181,"uuid":"664551691","full_name":"vusaverse/vvdoctor","owner":"vusaverse","description":"R Shiny app / package  to automate statistical testing","archived":false,"fork":false,"pushed_at":"2025-08-20T12:17:07.000Z","size":1192,"stargazers_count":8,"open_issues_count":2,"forks_count":1,"subscribers_count":1,"default_branch":"main","last_synced_at":"2025-08-20T12:53:18.869Z","etag":null,"topics":["hypothesis-testing","r-","r-shiny","r-stats","shiny-apps","shiny-r","statistical-tests","statistics","stats"],"latest_commit_sha":null,"homepage":"https://edulytics.shinyapps.io/vvdoctor/","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/vusaverse.png","metadata":{"files":{"readme":"README.md","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":"2023-07-10T08:25:00.000Z","updated_at":"2025-08-20T12:13:05.000Z","dependencies_parsed_at":null,"dependency_job_id":"24e1152a-28a5-444d-bd50-9d5bbf1fd2fa","html_url":"https://github.com/vusaverse/vvdoctor","commit_stats":null,"previous_names":["vusaverse/vvdoctor"],"tags_count":1,"template":false,"template_full_name":null,"purl":"pkg:github/vusaverse/vvdoctor","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vusaverse%2Fvvdoctor","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vusaverse%2Fvvdoctor/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vusaverse%2Fvvdoctor/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vusaverse%2Fvvdoctor/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/vusaverse","download_url":"https://codeload.github.com/vusaverse/vvdoctor/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/vusaverse%2Fvvdoctor/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274130316,"owners_count":25227290,"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":"2025-09-08T02:00:09.813Z","response_time":121,"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":["hypothesis-testing","r-","r-shiny","r-stats","shiny-apps","shiny-r","statistical-tests","statistics","stats"],"created_at":"2025-09-08T04:10:15.923Z","updated_at":"2025-09-08T04:10:18.474Z","avatar_url":"https://github.com/vusaverse.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# vvdoctor \u003ca href='https://github.com/vusaverse/vvdoctor'\u003e\u003cimg src=\"man/figures/hex-vvdoctor.png\" style=\"float:right; height:200px;\" height=\"200\" align=\"right\"/\u003e\u003c/a\u003e\n\n\u003c!-- badges: start --\u003e\n\n[![R-CMD-check](https://github.com/vusaverse/vvdoctor/actions/workflows/check-standard.yaml/badge.svg)](https://github.com/vusaverse/vvdoctor/actions/workflows/check-standard.yaml)\n\n[![CodeFactor](https://www.codefactor.io/repository/github/vusaverse/vvdoctor/badge)](https://www.codefactor.io/repository/github/vusaverse/vvdoctor)\n\n[![](https://img.shields.io/badge/Shiny-shinyapps.io-blue?style=flat\u0026labelColor=white\u0026logo=RStudio\u0026logoColor=blue)](https://edulytics.shinyapps.io/vvdoctor/)\n\n[![CRAN status](https://www.r-pkg.org/badges/version/vvdoctor)](https://CRAN.R-project.org/package=vvdoctor/)\n\n\u003ca href=\"https://diffify.com/R/vvdoctor\" target=\"_blank\"\u003e\u003cimg src=\"https://diffify.com/diffify-badge.svg\" alt=\"The diffify page for the R package vvdoctor\" style=\"width: 100px; max-width: 100%;\"\u003e\u003c/a\u003e\n\n[![CRAN last month downloads](https://cranlogs.r-pkg.org/badges/last-month/vvdoctor?color=green/)](https://cran.r-project.org/package=vvdoctor/)\n\n[![CRAN last month downloads](https://cranlogs.r-pkg.org/badges/grand-total/vvdoctor?color=green/)](https://cran.r-project.org/package=vvdoctor/)\n\n\u003c!-- badges: end --\u003e\n\n`vvdoctor` is an R package/Shiny app that provides a user-friendly interface for data analysis. It allows users to upload data files, visualize the data, perform statistical tests, and interpret the results.\n\nThe app is currently live on shinyapps.io, see: https://edulytics.shinyapps.io/vvdoctor/\n\n## Usage\n\n``` r\n## Install the app\ndevtools::install_github(\"vusaverse/vvdoctor\")\nlibrary(vvdoctor)\n\n## run the app\nvvdoctor::run_vvdoctor()\n```\n\n-   Uploading Data Files: Click on the \"Browse\" button to select and upload your data file in CSV or Excel format.\n\n-   Displaying the Dataframe: Once the data file is uploaded, the app will display the data as a dataframe. You can explore the data by scrolling through the table or using the search and filter options.\n\n-   Generating a Histogram: To generate a histogram of a specific variable, select a numeric dependent variable from the dropdown menu. The histogram will be displayed, allowing you to visualize the distribution of the data.\n\n-   Choosing Dependent and Independent Variables: To perform statistical tests, select the dependent and independent variables from the respective dropdown menus. The available variables will be automatically populated based on the uploaded data.\n\n-   Statistical Test Options: Once the variables are selected, the app will provide a list of statistical test options, such as t-tests, ANOVA, or correlation analysis. Choose the desired test and click on the \"Run Test\" button. The output of the test will be displayed, including the test statistic, p-value, and any additional relevant information.\n\n\n## Supported File Extensions\n\nCurrently, the following file types are supported:\n\n| Full File Type Name | Full Extension Name | Package | Read Function | Parsable Arguments |\n|----------------------|---------------------|---------|---------------|--------------------|\n| R Data File       | .RData           | base  | readRDS     | None             |\n| ASCII Text File    | .asc             | utils | read.table  | None             |\n| Comma Separated Values File | .csv | utils | read.csv       | sep, header      |\n| Apache Feather File | .feather         | feather | read_feather | None             |\n| Fixed-Size File    | .fst             | fst   | read_fst    | None             |\n| Apache Parquet File | .parquet         | arrow | read_parquet | None             |\n| R Data File       | .rda             | base  | readRDS     | None             |\n| R Data File       | .rds             | base  | readRDS     | None             |\n| SPSS Data File     | .sav             | haven | read_sav    | None             |\n| Tab Separated Values File | .tsv | utils | read.delim      | sep, header      |\n| Text File          | .txt             | utils | read.delim  | sep, header      |\n| Microsoft Excel File | .xlsx            | readxl | read_excel  | None             |\n\n\n## Decision Tree for Statistical Test Selection\n\nBased on the characteristics of the input data, the `vvdoctor` app uses the following decision tree to select the appropriate statistical test:\n\n![Decision Tree Flowchart](man/figures/decision_tree_flowchart.png)\n\nThis flowchart illustrates the process of selecting a statistical test based on the class of independent/dependent variables, whether the test is paired or unpaired, and whether the data is normally distributed. \n\n## Overview of Implemented Statistical Test\n\nThe table below serves as a reference for understanding the logic behind the app's functionality, \nshowcasing how different statistical tests are executed through various R packages and functions.\n\n| Statistical Test Name                                      | R Package | R Function (from the package) |\n|------------------------------------------------------------|------------|---------------------------------|\n| Sign Test                                                 | DescTools | SignTest()                      |\n| Wilcoxon Signed Rank Test                                 | stats      | wilcox.test()                   |\n| Mann-Whitney U Test                                        | stats      | wilcox.test()                   |\n| Kruskal-Wallis Test                                        | stats      | kruskal.test()                 |\n| One Sample t-test                                          | stats      | t.test()                        |\n| Paired t-test                                              | stats      | t.test()                        |\n| Independent Samples t-test                                 | stats      | t.test()                        |\n| Repeated Measures ANOVA                                    | ez         | ezANOVA()                       |\n| One-way ANOVA                                              | stats      | aov()                           |\n| Chi-Square Goodness-of-Fit and Binomial Test               | stats      | chisq.test()                    |\n| McNemar's Test                                             | exact2x2   | exact2x2()                      |\n| Chi-Square Test for Independence and Fisher's Exact Test | stats      | chisq.test()                    |\n| Bhapkar's Test                                             | irr        | bhapkar()                       |\n\n\n\n## Example\n\nBelow is a screenshot of an example in `vvdoctor`.\n\n![example](man/figures/vvdoctor_example.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvusaverse%2Fvvdoctor","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fvusaverse%2Fvvdoctor","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fvusaverse%2Fvvdoctor/lists"}