{"id":41801232,"url":"https://github.com/acclab/dabest-matlab","last_synced_at":"2026-01-25T06:02:11.539Z","repository":{"id":41176419,"uuid":"111906549","full_name":"ACCLAB/DABEST-Matlab","owner":"ACCLAB","description":"MATLAB package to generate contrast plots","archived":false,"fork":false,"pushed_at":"2020-09-10T14:07:23.000Z","size":1274,"stargazers_count":35,"open_issues_count":0,"forks_count":19,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-09-08T23:17:37.426Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"","language":"MATLAB","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"bsd-3-clause-clear","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/ACCLAB.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":"CONTRIBUTING.md","funding":null,"license":"LICENSE","code_of_conduct":"CODE_OF_CONDUCT.md","threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2017-11-24T10:32:51.000Z","updated_at":"2024-10-07T20:50:26.000Z","dependencies_parsed_at":"2022-09-03T12:00:22.114Z","dependency_job_id":null,"html_url":"https://github.com/ACCLAB/DABEST-Matlab","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/ACCLAB/DABEST-Matlab","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2FDABEST-Matlab","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2FDABEST-Matlab/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2FDABEST-Matlab/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2FDABEST-Matlab/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/ACCLAB","download_url":"https://codeload.github.com/ACCLAB/DABEST-Matlab/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/ACCLAB%2FDABEST-Matlab/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":28745836,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-01-25T05:12:38.112Z","status":"ssl_error","status_checked_at":"2026-01-25T05:04:50.338Z","response_time":113,"last_error":"SSL_connect returned=1 errno=0 peeraddr=140.82.121.6:443 state=error: 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":[],"created_at":"2026-01-25T06:02:10.769Z","updated_at":"2026-01-25T06:02:11.533Z","avatar_url":"https://github.com/ACCLAB.png","language":"MATLAB","funding_links":[],"categories":[],"sub_categories":[],"readme":"# DABEST-Matlab\n\n## About\n\nDABEST is a data analysis tool that is intended to make estimation statistics more accessible to scientific communities. Estimation statistics is a superior alternative to null hypothesis significance testing (NHST), in which effect size and confidence intervals are used to interpret results as opposed to dichotomous significance testing.\n \nThis code allows the user to visualize the data as scatterplots; calculates the effect size and confidence intervals of the difference between multiple groups; and plots the results on the same figure. This figure design allows for a visual inspection of the observed values distribution, and displays the differences between multiple groups of data.\n\n## Installation\n\nDABEST-Matlab can be installed via MATLAB Central (https://www.mathworks.com/matlabcentral/fileexchange/65260-dabest-matlab) or GitHub (how to clone a repo: https://help.github.com/articles/cloning-a-repository/).\n\n## How to cite\n\n**Moving beyond P values: Everyday data analysis with estimation plots**\n\n*Joses Ho, Tayfun Tumkaya, Sameer Aryal, Hyungwon Choi, Adam Claridge-Chang*\n\nNature Methods 2019, 1548-7105. [10.1038/s41592-019-0470-3](http://dx.doi.org/10.1038/s41592-019-0470-3)\n\n[Paywalled publisher site](https://www.nature.com/articles/s41592-019-0470-3); [Free-to-view PDF](https://rdcu.be/bHhJ4)\n\n\n## Bugs\n\nPlease report any bugs on the [Github issue tracker](https://github.com/ACCLAB/DABEST-Matlab/issues/new).\n\n\n## Contributing\n\nAll contributions are welcome; please read the [Guidelines for contributing](https://github.com/ACCLAB/DABEST-Matlab/blob/master/CONTRIBUTING.md) first.\n\nWe also have a [Code of Conduct](https://github.com/ACCLAB/DABEST-Matlab/blob/master/CODE_OF_CONDUCT.md) to foster an inclusive and productive space.\n\n\n\n## DABEST in other languages\n\nDABEST is also available in R ([dabestr](https://github.com/ACCLAB/dabestr)) and Python ([DABEST-Python](https://github.com/ACCLAB/DABEST-Python)).\n\n\n## Tutorial\n\n### Data format\n\nData should be in *the csv file format* and contain two columns with the headers: *Identifiers* and *Values*.\n\n*Identifiers* are the labels of each data point, and *Values* are the data points (see the example below).\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/DataFormat.png)\n\n*Note: All the sample data used in this tutorial are taken from S. Champely's  [anscombe2](https://www.rdocumentation.org/packages/PairedData/versions/0.9.9/topics/anscombe2) dataset, and can be found in DABEST-Matlab/SampleData/*.\n\nDepending on the number of groups the data contain, the main function *dabest* produces various plots, and returns the key \ninformation as a table object.\n\n### 1. Two groups\n\nIf the data have two different groups, `dabest('TwoGroups_sample.csv')` generates a *two groups* plot.\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/IndividualGroups/TwoGroup_sample.png)\n\n### 2. Paired\n\nRunning `dabest('TwoGroups_sample.csv','Paired')` generates a *paired* plot with the two groups data.\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/IndividualGroups/TwoGroupPaired_sample.png)\n\n### 3. Multiple groups\n\nIf the number of groups is an **even number**, a *multiple groups* plot will be automatically generated by `dabest('MultipleGroups_sample.csv')` command.  \n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/IndividualGroups/MultipleGroups_sample.png)\n\n### 4. Shared control\n\nIf there are more than two groups in the data, `dabest('MultipleGroups_sample.csv')` generates a *shared control* plot.\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/IndividualGroups/SharedControl_sample.png)\n\n### 5. Merged groups\n\nTo combine two groups of data and compare to a third group, run `dabest('MergedGroups_sample.csv','mergeGroups')`.\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/MergedGroups/MergedGroups_sample.png)\n\n### 6. Multiple merged groups\n\nFor the data that contain more than three groups -and a number that is divisible by 3, `dabest('MultipleMergedGroups_sample.csv','mergeGroups')` generates a *multiple merged groups* plot.\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/MergedGroups/MultipleMergedGroups_sample.png)\n\n### 7. Merged shared control\n\nIf the data contain more than three groups, `dabest('MultipleMergedGroups_sample.csv','mergeGroups')` automatically generates a second plot in which all the groups are compared to the *merged shared control*.\n\n![](https://github.com/ACCLAB/DABEST-Matlab/blob/master/SampleData/MergedGroups/MergedSharedControl_sample.png)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facclab%2Fdabest-matlab","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Facclab%2Fdabest-matlab","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Facclab%2Fdabest-matlab/lists"}