{"id":23331154,"url":"https://github.com/sassoftware/sas-prog-for-r-users","last_synced_at":"2025-04-07T10:48:15.782Z","repository":{"id":66179985,"uuid":"71811360","full_name":"sassoftware/sas-prog-for-r-users","owner":"sassoftware","description":"Teaching and lab materials for the \"SAS Programming for R Users\" course, including course notes, data, and code.","archived":false,"fork":false,"pushed_at":"2024-08-16T14:09:59.000Z","size":15562,"stargazers_count":154,"open_issues_count":0,"forks_count":75,"subscribers_count":25,"default_branch":"master","last_synced_at":"2025-02-13T13:24:46.492Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"SAS","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"cc-by-4.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/sassoftware.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":"2016-10-24T16:58:01.000Z","updated_at":"2025-02-10T22:41:00.000Z","dependencies_parsed_at":"2024-12-20T22:31:57.126Z","dependency_job_id":"37b3879b-70ad-4d1d-8d9b-72be1ea1560b","html_url":"https://github.com/sassoftware/sas-prog-for-r-users","commit_stats":{"total_commits":5,"total_committers":3,"mean_commits":"1.6666666666666667","dds":0.4,"last_synced_commit":"b7bc35cdd7743dc2bc53cc6c0b701b167e136b22"},"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-prog-for-r-users","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-prog-for-r-users/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-prog-for-r-users/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/sassoftware%2Fsas-prog-for-r-users/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/sassoftware","download_url":"https://codeload.github.com/sassoftware/sas-prog-for-r-users/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247640508,"owners_count":20971553,"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":[],"created_at":"2024-12-20T22:31:32.512Z","updated_at":"2025-04-07T10:48:15.731Z","avatar_url":"https://github.com/sassoftware.png","language":"SAS","funding_links":[],"categories":[],"sub_categories":[],"readme":"# SAS Programming for R Users (Course Materials)\nThis project contains the learning materials for the free SAS programming course, _SAS Programming for R Users_.  \n\nSAS Training offers a free e-Learning version of this course, which includes lecture, demos, and exercises.\nThere are also occasionally instructor-led sessions of this course in the \"Live Web\" format for no charge; see \n[the SAS training web site for the schedule and the Self-paced e-Learning link](https://support.sas.com/edu/schedules.html?id=3033).\n\n## Materials Included:\nThe course materials supplied here contain everything you need for self-paced\nlearning or (for experts) to teach the course to other students.  Materials\ninclude:\n\n- [PDF version of the course notes](notes/LWSP4R_001.pdf) (over 600 pages)\n- Sample data files in CSV, XLSX, text, and SAS code formats\n- Over 80 SAS programs for course exercises \n\n## About The Course\nThis course is for experienced R users who want to apply their existing skills and extend them to the SAS environment. \nEmphasis will be placed on programming and not statistical theory or interpretation. Students of this course should have knowledge of plotting, manipulating data, iterative processing, creating functions, applying functions, linear models, generalized linear models, mixed models, stepwise model selection, matrix algebra, and statistical simulations.\n\nLearn how to:\n\n- read and write SAS programs\n- import various forms of data\n- subset and merge data tables\n- do iterative processing and simulate new data\n- create new variables and functions\n- create and enhance plots of all types\n- apply descriptive and inferential procedures including regression, \nlogistic regression, analysis of variance, \nstepwise model selection, and mixed models\n- conduct matrix algebra and statistical simulations in the interactive matrix language (IML)\n- call R from SAS to use as a complimentary resource.\n\n## Lab Machine Configuration\nThe Live Web version of this course uses a virtual lab environment. \nThe lab environment features SAS for Windows, SAS Enterprise Guide, \nand SAS Studio.  Any of these can be used as the programming environment. \nA small part of the course addresses the use of SAS Enterprise Miner.\n\nSelf-paced learners or anyone using this material in a classroom setting can\nadapt the course to use their own instance of Base SAS (Display Manager), \nSAS Enterprise Guide, or SAS Studio.  SAS can run on Windows or any supported\nvariety of UNIX or Linux.\n\nThe SAS program examples assume a home directory of \"`s:\\workshop`\" for the\nSAS programs and data files.  To adapt to your own environment, simply\nchange those path references to a location that works for your own\nmachine.  If using SAS University Edition, you can use the \n`/folders/myfolder` [shared folder structure](https://support.sas.com/software/products/university-edition/faq/shared_folder_whatis.htm) \nas a \"home base\" for the code and data.\n\n### SAS Products\nThe following SAS products are used for the bulk of the course:\n\n- Base SAS\n- SAS/STAT\n- SAS/IML\n\nThese products are all [included with SAS University Edition](http://www.sas.com/en_us/software/university-edition.html), \na free SAS programming environment that you can download from SAS.\n\n### Integration with R\nChapter 8 of this course (chapter title: \"A Bridge between SAS and R\")\nshows examples of integrating R with SAS.  \nThe integration with R requires an installed version of R, \nplus a few additional configuration settings within\nyour SAS environment.  These settings are described in Chapter 8 of the course\nnotes.\n\n*Note:* Because you cannot modify its configuration, SAS University Edition \ndoes not support integration with R.  You will still be able to complete\nChapters 1 through 7 without the R integration.\n\n# Licensing \nYou can obtain a copy of the license at [LICENSE.txt](https://github.com/sassoftware/sas-prog-for-r-users/blob/master/LICENSE)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsassoftware%2Fsas-prog-for-r-users","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsassoftware%2Fsas-prog-for-r-users","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsassoftware%2Fsas-prog-for-r-users/lists"}