{"id":15481744,"url":"https://github.com/p-gw/factorrotations.jl","last_synced_at":"2026-03-09T19:03:27.435Z","repository":{"id":215259793,"uuid":"738437803","full_name":"p-gw/FactorRotations.jl","owner":"p-gw","description":"Rotation methods for factor analysis and principal component analysis in Julia","archived":false,"fork":false,"pushed_at":"2024-09-19T10:40:03.000Z","size":939,"stargazers_count":7,"open_issues_count":11,"forks_count":2,"subscribers_count":1,"default_branch":"main","last_synced_at":"2024-10-19T05:17:54.672Z","etag":null,"topics":["factor-analysis","julia","psychometrics"],"latest_commit_sha":null,"homepage":"https://p-gw.github.io/FactorRotations.jl/","language":"Julia","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/p-gw.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":"2024-01-03T08:21:37.000Z","updated_at":"2024-09-19T10:06:41.000Z","dependencies_parsed_at":"2024-01-24T13:43:17.536Z","dependency_job_id":"22383fb2-8135-4751-a67c-78d3e0672ea7","html_url":"https://github.com/p-gw/FactorRotations.jl","commit_stats":null,"previous_names":["p-gw/factorrotations.jl"],"tags_count":14,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/p-gw%2FFactorRotations.jl","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/p-gw%2FFactorRotations.jl/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/p-gw%2FFactorRotations.jl/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/p-gw%2FFactorRotations.jl/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/p-gw","download_url":"https://codeload.github.com/p-gw/FactorRotations.jl/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":249273988,"owners_count":21242009,"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","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":["factor-analysis","julia","psychometrics"],"created_at":"2024-10-02T05:05:56.011Z","updated_at":"2026-03-09T19:03:22.405Z","avatar_url":"https://github.com/p-gw.png","language":"Julia","funding_links":[],"categories":[],"sub_categories":[],"readme":"# FactorRotations.jl\n\n[![Stable](https://img.shields.io/badge/docs-stable-blue.svg)](https://p-gw.github.io/FactorRotations.jl/stable/)\n[![Dev](https://img.shields.io/badge/docs-dev-blue.svg)](https://p-gw.github.io/FactorRotations.jl/dev/)\n[![Build Status](https://github.com/p-gw/FactorRotations.jl/actions/workflows/CI.yml/badge.svg?branch=main)](https://github.com/p-gw/FactorRotations.jl/actions/workflows/CI.yml?query=branch%3Amain)\n[![Coverage](https://codecov.io/gh/p-gw/FactorRotations.jl/branch/main/graph/badge.svg)](https://codecov.io/gh/p-gw/FactorRotations.jl)\n\n[FactorRotations.jl](https://github.com/p-gw/FactorRotations.jl) implements factor rotations by the gradient projections algorithms described\nin Bernaards \u0026 Jennrich (2005).\n\n## Installation\nTo install FactorRotations.jl you can use the Julia package manager,\n\n```julia\n] add FactorRotations\n```\n\n## Getting started\nFactorRotations.jl provides methods to rotate factor loading matrices, e.g. from \nexploratory factor analysis or principle component analysis.\n\nAssume you aquired a factor loading matrix `L` then you can rotate the matrix by calling\nthe `rotate` function. The `rotate` function takes the factor loading matrix as the first\nargument and an instance of a rotation method as the second argument.\n\n```julia\nL = [\n    0.830 -0.396\n    0.818 -0.469\n    0.777 -0.470\n    0.798 -0.401\n    0.786  0.500\n    0.672  0.458\n    0.594  0.444\n    0.647  0.333\n]\n\nrotate(L, Varimax())\n```\n\nFor a complete list of available methods see the [Rotation Methods](https://github.com/p-gw/FactorRotations.jl/rotation_methods.jl) section of the documentation.\n\nFor a fully worked example see the [Guides](https://github.com/p-gw/FactorRotations.jl/guides/index.html) section of the documentation.\n\n# References\nBernaards, C. A., \u0026 Jennrich, R. I. (2005). Gradient projection algorithms and software for arbitrary rotation criteria in factor analysis. *Educational and psychological measurement, 65*(5), 676-696.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fp-gw%2Ffactorrotations.jl","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fp-gw%2Ffactorrotations.jl","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fp-gw%2Ffactorrotations.jl/lists"}