{"id":14069337,"url":"https://github.com/hbctraining/Intro-to-R","last_synced_at":"2025-07-30T05:32:10.693Z","repository":{"id":92356933,"uuid":"77069226","full_name":"hbctraining/Intro-to-R","owner":"hbctraining","description":null,"archived":true,"fork":false,"pushed_at":"2021-03-23T14:30:12.000Z","size":55743,"stargazers_count":92,"open_issues_count":2,"forks_count":56,"subscribers_count":15,"default_branch":"master","last_synced_at":"2024-12-04T10:39:38.503Z","etag":null,"topics":["r","rstudio","workshop"],"latest_commit_sha":null,"homepage":"https://hbctraining.github.io/Intro-to-R/","language":"SCSS","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/hbctraining.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":"2016-12-21T16:43:36.000Z","updated_at":"2024-10-31T10:14:09.000Z","dependencies_parsed_at":"2023-05-16T23:45:41.304Z","dependency_job_id":null,"html_url":"https://github.com/hbctraining/Intro-to-R","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/hbctraining/Intro-to-R","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hbctraining%2FIntro-to-R","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hbctraining%2FIntro-to-R/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hbctraining%2FIntro-to-R/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hbctraining%2FIntro-to-R/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/hbctraining","download_url":"https://codeload.github.com/hbctraining/Intro-to-R/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/hbctraining%2FIntro-to-R/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267815187,"owners_count":24148356,"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":"2025-07-30T02:00:09.044Z","response_time":70,"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":["r","rstudio","workshop"],"created_at":"2024-08-13T07:06:51.927Z","updated_at":"2025-07-30T05:32:05.671Z","avatar_url":"https://github.com/hbctraining.png","language":"SCSS","funding_links":[],"categories":["SCSS"],"sub_categories":[],"readme":"**THIS REPO IS ARCHIVED, PLEASE GO TO [https://hbctraining.github.io/main](https://hbctraining.github.io/main) FOR CURRENT LESSONS.**\n\n## Introduction to R\n\n| Audience | Computational skills required | Duration |\n:----------|:-------------|:----------|\n| Biologists | None | 1.5 or 2-day workshop (~ 9 - 13 hours of trainer-led time)|\n\n### Description\nThis repository has teaching materials for a hands-on **Introduction to R** workshop. The workshop will introduce participants to the basics of R and RStudio. R is a simple programming environment that enables the effective handling of data, while providing excellent graphical support. RStudio is a tool that provides a user-friendly environment for working with R. \n\nThese materials are intended to provide both basic R programming knowledge and its application for increasing efficiency for data analysis. \n\n\u003e These materials are developed for a trainer-led workshop, but also amenable to self-guided learning.\n\n### Learning Objectives\n\n1. **R syntax**: Understand the different 'parts of speech'.\n2. **Data types structures in R**: Describe the various data types and data structures.\n3. **Data inspection and wrangling**: Demonstrate the utilization of functions and indices to inspect and subset data from various data structures.\n4. **Visualizing data**: Demonstrate the use of the ggplot2 package to create plots for easy data visualization.\n\n### Lessons\n**[Click here](schedules/1.5-day.md) for links to lessons and the suggested schedule**\n\n### Installation Requirements\n\nDownload the most recent versions of R and RStudio for the appropriate OS using the links below:\n\n - [R](https://cran.r-project.org/) \n - [RStudio](https://www.rstudio.com/products/rstudio/download/#download)\n\n### Dataset\n\nAll the files used for the above lessons are linked within, but can also be [accessed here](https://github.com/hbctraining/Intro-to-R-with-DGE/tree/master/data).\n\n---\n*These materials have been developed by members of the teaching team at the [Harvard Chan Bioinformatics Core (HBC)](http://bioinformatics.sph.harvard.edu/). These are open access materials distributed under the terms of the [Creative Commons Attribution license](https://creativecommons.org/licenses/by/4.0/) (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.*\n\n* *Some materials used in these lessons were derived from work that is Copyright © Data Carpentry (http://datacarpentry.org/). \nAll Data Carpentry instructional material is made available under the [Creative Commons Attribution license](https://creativecommons.org/licenses/by/4.0/) (CC BY 4.0).*\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhbctraining%2FIntro-to-R","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fhbctraining%2FIntro-to-R","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fhbctraining%2FIntro-to-R/lists"}