{"id":24797954,"url":"https://github.com/agricolamz/fe_r_course","last_synced_at":"2026-05-01T01:32:06.783Z","repository":{"id":131293869,"uuid":"78837537","full_name":"agricolamz/FE_R_course","owner":"agricolamz","description":"Further Education R course","archived":false,"fork":false,"pushed_at":"2017-06-05T06:54:50.000Z","size":13147,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-03-24T21:24:03.376Z","etag":null,"topics":["r","rstats","statistics","teaching"],"latest_commit_sha":null,"homepage":"https://agricolamz.github.io/FE_R_course/","language":"CSS","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/agricolamz.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":"2017-01-13T10:01:20.000Z","updated_at":"2018-06-07T06:50:50.000Z","dependencies_parsed_at":"2023-07-30T23:15:35.970Z","dependency_job_id":null,"html_url":"https://github.com/agricolamz/FE_R_course","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/agricolamz/FE_R_course","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agricolamz%2FFE_R_course","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agricolamz%2FFE_R_course/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agricolamz%2FFE_R_course/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agricolamz%2FFE_R_course/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/agricolamz","download_url":"https://codeload.github.com/agricolamz/FE_R_course/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/agricolamz%2FFE_R_course/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":286080680,"owners_count":32482460,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2026-04-30T13:12:12.517Z","status":"ssl_error","status_checked_at":"2026-04-30T13:12:06.837Z","response_time":57,"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":["r","rstats","statistics","teaching"],"created_at":"2025-01-30T01:31:59.419Z","updated_at":"2026-05-01T01:32:06.766Z","avatar_url":"https://github.com/agricolamz.png","language":"CSS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Курс \"R, визуализация и статистика\"\n\n### Установка R и RStudio.\n[R](https://www.r-project.org/), [RStudio](https://www.rstudio.com/products/rstudio/download/#download), [RStudio online](https://www.rollapp.com/app/rstudio), [Cоединение RStudio и GitHub](http://happygitwithr.com/rstudio-git-github.html), [R-bloggers](https://www.r-bloggers.com/)\n\n### Занятие 1. Введение в R и RStudio. Вектор. Датафрем. Установка и работа с пакетами.\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_1.html)\n* [домашнее задание](https://docs.google.com/forms/d/e/1FAIpQLScLWNxqwls7ZDxB7S4OyhOWM3U86g-PSwxYfNpSWHqme5KiQQ/viewform?c=0\u0026w=1)\n\n### Занятие 2. Пользовательские функции. Функции семейства apply. Манипуляции с данными. Пакет tidyverse.\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_2.html)\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%202.%20advanced_data_manipulation.pdf) (покрывает только часть лекции)\n* [домашнее задание](https://goo.gl/forms/vAgbDJ4kIXUYAQVm1)\n\n### Занятие 3. Joins. Работа со строками. Пакет stringr\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_3.html)\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%203.%20working_with_strings.pdf) (покрывает только часть лекции)\n* [домашнее задание](https://goo.gl/forms/nLIv1oBHNoKrvCZh1)\n\n### Занятие 4. Визуализация. Пакет ggplot2. RMarkdown.\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_4.html)\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%204.%20data_visualization.pdf) (покрывает только часть лекции)\n\n### Занятие 5. Визуализация. Пакет ggplot2. Plotly. Shiny\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_5.html)\n* [домашнее задание](https://goo.gl/forms/FQB0N89tcIudfWve2)\n\n### Занятие 6. Повторение.\n\n* [задания](https://agricolamz.github.io/FE_R_course/Lab_6.html)\n\n### Занятия 7-8. Описантельная статистика. Фриквентистская статистика\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_7.html)\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%207.%20descriptive_and_simple_statistics.pdf) (покрывает только часть лекции)\n* [домашнее задание](https://goo.gl/forms/BFgKk2EgXdQaUMi83)\n\n### Занятие 9. Корреляция и регрессия\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_9.html)\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%209.%20Correlation_and_regression.pdf)\n\n### Занятие 10. Повторение и логистическая регрессия\n\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_10.html)\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%2010.%20Logistic_regression.pdf)\n* домашнее задание\n\n### Занятие 11. Кластеризация и деревья решений\n\n* [презентация](https://github.com/agricolamz/FE_R_course/raw/master/Lab%2011.%20Clustering,_decision_trees.pdf)\n* [материалы занятия](https://agricolamz.github.io/FE_R_course/Lab_11.html)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagricolamz%2Ffe_r_course","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fagricolamz%2Ffe_r_course","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fagricolamz%2Ffe_r_course/lists"}