{"id":21815610,"url":"https://github.com/arbox/r-course-2016","last_synced_at":"2025-10-14T04:04:33.641Z","repository":{"id":66320717,"uuid":"71995952","full_name":"arbox/R-Course-2016","owner":"arbox","description":"Aufgaben und Skripte für den Statistikkurs im Wintersemester 16/17.","archived":false,"fork":false,"pushed_at":"2017-02-02T10:21:45.000Z","size":18593,"stargazers_count":1,"open_issues_count":0,"forks_count":8,"subscribers_count":2,"default_branch":"master","last_synced_at":"2025-10-14T04:04:04.103Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"HTML","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/arbox.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"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":"2016-10-26T11:18:58.000Z","updated_at":"2016-11-05T22:58:31.000Z","dependencies_parsed_at":null,"dependency_job_id":"9234f347-93af-4f1e-98f9-8dcb6487ee63","html_url":"https://github.com/arbox/R-Course-2016","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/arbox/R-Course-2016","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arbox%2FR-Course-2016","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arbox%2FR-Course-2016/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arbox%2FR-Course-2016/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arbox%2FR-Course-2016/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/arbox","download_url":"https://codeload.github.com/arbox/R-Course-2016/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/arbox%2FR-Course-2016/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":279017953,"owners_count":26086189,"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":"2025-10-14T02:00:06.444Z","response_time":60,"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":"2024-11-27T15:20:29.839Z","updated_at":"2025-10-14T04:04:33.608Z","avatar_url":"https://github.com/arbox.png","language":"HTML","funding_links":[],"categories":[],"sub_categories":[],"readme":"# CL/DH, Universität Trier, R-Kurs\n\n_Aufgaben und Skripte für den Statistikkurs im Wintersemester 16/17._\n\n## Sitzung 01\nGit und Github. Projektverwaltung. Die Arbeitsumgebung `RStudio`.\n\n## Sitzung 02\nLiterate Programming. Elemente der Sprache `R`.\n\n## Sitzung 03\nDatenstrukturen in R. Arbeit mit diversen Datenquellen.\n\n## Sitzung 04\nDatenabfragen. Konflikte in Git.\n\n## Sitzung 05\nArbeit mit XML-Daten. Auswahl der ignorierten Daten in Git.\n\n## Sitzung 06\nDeskriptive Statistiken. Graphische Darstellung nominaler Daten.\n\n## Sitzung 07\nStreuungswerte. Einführung in ggplot2.\n\n## Session 08\nGraphische Darstellung der Daten\n\n## Session 09\nMathematische Grundoperationen\n\n## Session 10\nggplot2: Tutorial\n\n## Session 11\nChi-Quadrat-Tests auf Unabhängigkeit\n\n## Session 12\nRangkorrelation nach Spearman\n\n## Session 13\nLineare Modelle für metrische Daten\n\n## Session 14\nLogistische Regression\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farbox%2Fr-course-2016","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farbox%2Fr-course-2016","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farbox%2Fr-course-2016/lists"}