{"id":22928800,"url":"https://github.com/uva-bi-sdad/introduction_to_r","last_synced_at":"2025-09-11T05:14:30.981Z","repository":{"id":112997503,"uuid":"189772441","full_name":"uva-bi-sdad/introduction_to_R","owner":"uva-bi-sdad","description":"SDAD","archived":false,"fork":false,"pushed_at":"2019-06-05T14:19:15.000Z","size":5,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-01T16:19:01.605Z","etag":null,"topics":["bootcamp","data-science","r","teaching-materials"],"latest_commit_sha":null,"homepage":null,"language":null,"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/uva-bi-sdad.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":"2019-06-01T19:55:44.000Z","updated_at":"2019-06-05T14:19:17.000Z","dependencies_parsed_at":null,"dependency_job_id":"98a3f591-fa50-4a35-b216-5088ae5d4323","html_url":"https://github.com/uva-bi-sdad/introduction_to_R","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/uva-bi-sdad/introduction_to_R","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uva-bi-sdad%2Fintroduction_to_R","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uva-bi-sdad%2Fintroduction_to_R/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uva-bi-sdad%2Fintroduction_to_R/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uva-bi-sdad%2Fintroduction_to_R/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/uva-bi-sdad","download_url":"https://codeload.github.com/uva-bi-sdad/introduction_to_R/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/uva-bi-sdad%2Fintroduction_to_R/sbom","scorecard":null,"host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":274580360,"owners_count":25311149,"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":"2025-09-11T02:00:13.660Z","response_time":74,"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":["bootcamp","data-science","r","teaching-materials"],"created_at":"2024-12-14T09:27:51.516Z","updated_at":"2025-09-11T05:14:30.948Z","avatar_url":"https://github.com/uva-bi-sdad.png","language":null,"funding_links":[],"categories":[],"sub_categories":[],"readme":"# Introduction to R\n\nThis lecture will cover the following topics:\n\n- Using R Markdown files (`Rmd`)\n- RStudio Settings and Interface\n- Setting up with R environment (`RProj`, `Rprofile`, `Renviron`, `library`)\n- Atomic vector types\n  - `logical` (logical operators)\n  - `integer` \n  - `numeric` as alias for double precision (scalar operations)\n  - `complex`\n  - `character` (basic natural language processing)\n  - `raw`\n- Data type information API\n  - `str`\n  - `summary`\n  - `typeof`\n  - `dim` / `length`\n  - `names` / `dimnames` / `levels`\n  - `unique` / `table`\n- Collections\n  - Data types\n    - Arrays\n      - `vector`\n      - `matrix`\n      - `array`\n    - `list`\n    - Examples of composite types\n      - `Date`\n      - `Named`\n      - `Factor` (basics of plotting)\n  - Initiation, accesing, and modifying\n    - Pre-allocation\n    - `c`\n    - `getElement` / `[` / `[[`\n    - coerce methods (e.g., `as.vector`)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuva-bi-sdad%2Fintroduction_to_r","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fuva-bi-sdad%2Fintroduction_to_r","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fuva-bi-sdad%2Fintroduction_to_r/lists"}