{"id":18046651,"url":"https://github.com/ltla/r-virtual-library","last_synced_at":"2025-04-05T04:25:09.681Z","repository":{"id":82716822,"uuid":"598856448","full_name":"LTLA/r-virtual-library","owner":"LTLA","description":"Fork of wch's r-source that uses a virtual library.","archived":false,"fork":false,"pushed_at":"2023-02-08T00:09:42.000Z","size":319633,"stargazers_count":0,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"R-4-2-branch","last_synced_at":"2025-02-10T12:29:34.737Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/LTLA.png","metadata":{"files":{"readme":"README","changelog":"ChangeLog","contributing":null,"funding":null,"license":"COPYING","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":"2023-02-08T00:01:10.000Z","updated_at":"2023-02-08T01:18:56.000Z","dependencies_parsed_at":null,"dependency_job_id":"80e7f96f-61f3-4cdc-a282-e1bfbb427200","html_url":"https://github.com/LTLA/r-virtual-library","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2Fr-virtual-library","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2Fr-virtual-library/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2Fr-virtual-library/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/LTLA%2Fr-virtual-library/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/LTLA","download_url":"https://codeload.github.com/LTLA/r-virtual-library/tar.gz/refs/heads/R-4-2-branch","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247288355,"owners_count":20914348,"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":"2024-10-30T19:08:23.143Z","updated_at":"2025-04-05T04:25:09.645Z","avatar_url":"https://github.com/LTLA.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"\n\t\t\tTHE BASIC R README\n\n\n\t   (See \"doc/FAQ\" and \"doc/RESOURCES\" for more detailed information\n\t\t\t\t      - these files are only in the tarballs)\n\t   (See \"INSTALL\"             for help on installation)\n\n1. INTRODUCTION\n\nThis directory contains the source code tree for R, which is a\nlanguage which is not entirely unlike (versions 3 and 4 of) the S\nlanguage developed at AT\u0026T Bell Laboratories by Rick Becker, John\nChambers and Allan Wilks.\n\nR is free software distributed under a GNU-style copyleft.\n\nThe core of R is an interpreted computer language with a syntax\nsuperficially similar to C, but which is actually a \"functional\nprogramming language\" with capabilities similar to Scheme.  The\nlanguage allows branching and looping as well as modular programming\nusing functions.  Most of the user-visible functions in R are written\nin R, calling upon a smaller set of internal primitives.  It is\npossible for the user to interface to procedures written in C or\nFortran languages for efficiency, and also to write additional\nprimitives.\n\nThe R distribution contains functionality for a large number of\nstatistical procedures.  Among these are: linear and generalized\nlinear models, nonlinear regression models, time series analysis,\nclassical parametric and nonparametric tests, clustering and\nsmoothing.  There is also a large set of functions which provide a\nflexible graphical environment for creating various kinds of data\npresentations.\n\nA package specification allows the production of loadable modules for\nspecific purposes, and several thousand contributed packages are made\navailable through the CRAN sites (see\nhttps://CRAN.R-project.org/mirrors.html for the current members).\n\n\n2. HISTORY\n\nR was initially written by Robert Gentleman and Ross Ihaka of the\nStatistics Department of the University of Auckland.  In addition, a\nlarge group of individuals has contributed to R by sending code and bug\nreports.\n\nSince mid-1997 there has been a core group who can modify the R source\ncode archive, listed in file doc/AUTHORS.\n\nR 1.0.0 was released on 29 February 2000 and 2.0.0 on 4 October 2004.\nR 3.0.0 came out on 3 April 2013.\n\nThis file has been minimally revised since the release of R 1.0.0.\n\n3. PRESENT STATUS\n\nThe present version implements most of the functionality in the 1988\nbook \"The New S Language\" (the \"Blue Book\") and many of the\napplications.  In addition, we have implemented a large part of the\nfunctionality from the 1992 book \"Statistical Models in S\" (the \"White\nBook\") and the 1998 book \"Programming with Data\" (the \"Green Book\").\n\nAll the R functions have been documented in the form of help pages in\nan \"output independent\" form which can be used to create versions for\nHTML, PDF, text etc.  A 1900+ page Reference Index (a collection of\nmost of the help pages: there is also a 3300+ page version with all\nthe help pages, including recommended packages) can be obtained in\nPDF.  The manual `An Introduction to R' provides a more user-friendly\nstarting point, and there is an FAQ, a draft `R Language Definition'\nmanual and more specialized manuals on admininstration, data\nimport/export and extending R.  See INSTALL for instructions on how to\ngenerate these documents.\n\n\n4. GOALS\n\nOur aim at the start of this project was to demonstrate that it was\npossible to produce an S-like environment which did not suffer from\nthe memory-demands and performance problems which S has.  Somewhat\nlater, we started to turn R into a \"real\" system, but unfortunately we\nlost a large part of the efficiency advantage in the process, so have\nrevised the memory management mechanism and implemented delayed\nloading of R objects.  A lot of performance tuning has been done,\nincluding the ability to use tuned linear-algebra libraries.\n\nLonger-term goals include to explore new ideas: e.g. virtual objects\nand component-based programming, and expanding the scope of existing\nones like formula-based interfaces.  Further, we wish to get a handle\non a general approach to graphical user interfaces (preferably with\ncross-platform portability), and to develop better 3-D and dynamic\ngraphics.\n\n\nSincerely,\nThe R Core Team.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltla%2Fr-virtual-library","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fltla%2Fr-virtual-library","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fltla%2Fr-virtual-library/lists"}