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Programming Languages

22,586 items in 77 lists

  1. ggplot2 - Modify components of a theme ggplot2.tidyverse.org

    How to modify components of a theme in ggplot2. Author: the developers of Tidyverse.

  2. ggplot2: Elegant Graphics for Data Analysis ggplot2-book.org

    This book provides a hands-on introduction to ggplot2 with lots of example code and graphics. It also explains the grammar on which ggplot2 is based. Author: Hadley Wickham.

  3. Geocomputation with R geocompr.robinlovelace.net

    This book is about using the power of computers to do things with geographic data. It teaches a range of spatial skills, including reading, writing and manipulating geographic data; making static and interactive maps; applying geocomputation to solve real-world problems; and…

  4. An Introduction to Statistical Learning faculty.marshall.usc.edu

    This book provides an introduction to statistical learning methods. Authors: Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani.

  5. ggplot2 extensions - gallery exts.ggplot2.tidyverse.org

    Maintained by Daniel Emaasit.

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  6. Engineering Production-Grade Shiny Apps engineering-shiny.org

    This book covers the process of building a Shiny application that will later be sent to production. Authors: Colin Fay, Sébastien Rochette, Vincent Guyader, Cervan Girard.

  7. The Art of R Programming diytranscriptomics.com

    This book is for those who wish to learn about developing software in R. Author: Norman Matloff.

  8. Getting latitude & longitude for any address discourse.looker.com

    Author: Brecht Vermeire.

  9. R - discoRd server discord.gg

    Dedicated discoRd server with the following topic-based channels: R-Main for more general discussions, R-Share for showing off your data visuals, General R Help for asking questions and sharing learning resources, and Topical Help/Discussion for issues dealing with statistics…

  10. A Sufficient Introduction to R dereksonderegger.github.io

    This book is intended to guide people that are completely new to programming along a path towards a useful skill level using R. Author: Derek L. Sonderegger.

  11. Building Shiny apps - an interactive tutorial deanattali.com

    This tutorial is a hands-on activity complement to a set of presentation slides for learning how to build Shiny apps. Author: Dean Attali.

  12. The Data Visualization Catalogue datavizcatalogue.com

    The Data Visualization Catalogue is a project developed by Severino Ribecca to create a library of different information visualization types.

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  13. Data Science in Education Using R datascienceineducation.com

    This book is primarily about learning to use R as a tool for data science in education. Authors: Ryan A. Estrellado, Emily A. Bovee, Jesse Mostipak, Joshua M. Rosenberg, and Isabella C. Velásquez.

  14. Data Science in a Box datasciencebox.org

    The core content of the course focuses on data acquisition and wrangling, exploratory data analysis, data visualization, inference, modelling, and effective communication of results.

  15. Combine Multiple GGPlots into a Figure datanovia.com

    Author: Alboukadel Kassambara.

  16. Data Imaginist data-imaginist.com

    Thomas Lin Pedersen is a data scientist turned software engineer who focuses on improving researchers’ interactions with the data they produce.

  17. Data Flair data-flair.training

    The tutorials are grouped by skill level (beginner, intermediate, expert).

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  18. R Tutorial – Be a Data Science rock star with R data-flair.training

    A tour of the R programming language that explores its different and essential concepts. This R DataFlair Tutorial Series is designed to help beginners to get started with R and experienced to brush up their R programming skills and gain perfection in the language.

  19. Answering Questions with Data crumplab.github.io

    This is a free textbook teaching introductory statistics for undergraduates in Psychology. The textbook was written with math-phobia in mind and attempts to reduce the phobia associated with arithmetic computations. Author: Matthew J. C. Crump.

  20. An Introduction to R cran.r-project.org

    This introduction to R is derived from an original set of notes describing the S and S-Plus environments written in 1990–2 by Bill Venables and David M. Smith when at the University of Adelaide.

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  21. Practical Regression and Anova using R cran.r-project.org

    The emphasis of this text is on the practice of regression and analysis of variance. The objective is to learn what methods are available and more importantly, when they should be applied. Author: Julian Faraway.

  22. Plotting distributions (ggplot2) cookbook-r.com

    A tutorial for plotting a distribution of data. Author: Winston Chang.

  23. Practicals and Exercises columbia.edu

    This series of exercises reviews some of the content discussed during the author's lectures, and introduces some other basic concepts about working with data in R. Author: Charles DiMaggio, PhD.

  24. Color Hex Color Codes color-hex.com

    Author: Color-Hex.

  25. Intro to R course by Fabio Votta - part 1 colab.research.google.com

    A fun introduction to R programming grouped into categories (operators, objects, functions, exercises, and data frames).

  26. Intro to R course by Fabio Votta - part 2 colab.research.google.com

    A fun introduction to R programming grouped into categories (data manipulation and cleaning featuring the janitor, tidyr, and dplyr packages).

  27. A ggplot2 Tutorial for Beautiful Plotting in R cedricscherer.netlify.app

    A comprehensive and easy to follow tutorial that covers working with axes, titles, legends, backgrounds, grid lines, margins, multi-panel plots, colors, themes, lines, text, coordinates, chart types, ribbons, smoothings, and interactive plots. Author: Cédric Scherer.

  28. Cédric Scherer cedricscherer.netlify.app

    Cédric Scherer is a graduated computational ecologist and freelance data visualization expert who has created visualizations across all disciplines, purposes, and styles and regularly teaches data visualization principles, R, and ggplot2.

    site link ↗
  29. SCL manual web.archive.org

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  30. Scieneer Common Lisp (SCL) web.archive.org

    A commercial Linux and Unix implementation, but has an unrestricted free evaluation and non-commercial use version.

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  31. Stack Overflow on CLtL2 stackoverflow.com

    Some recommend using CLtL2 for insight and inspiration, but to use the CLHS when programming.

  32. SBCL manual sbcl.org

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  33. Steel Bank Common Lisp (SBCL) sbcl.org

    My personal favorite.

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  34. Comments on Let Over Lambda reddit.com

    Several people recommend that you be comfortable with On Lisp before reading this book, and that the start is slow.

  35. Lisp Subreddit reddit.com

    An active community, and has loads of useful links and reference documents in the sidebar.

  36. Quickdocs quickdocs.org

    Documentation for projects in Quicklisp.

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  37. ebook nostarch.com

    .

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  38. Chapters 5 and 6 (available online) metamodular.com

    The specification of a metaobject protocol extension to CLOS, by Robert Strandh.

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  39. LispWorks lispworks.com

    Commercial, but as mentioned previously, has a Personal Edition with minor limitations.

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  40. Lispworks Personal Edition lispworks.com

    A non-Emacs based IDE for LispWorks Lisp, with some restrictions.

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  41. LispWorks manual lispworks.com

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  42. The Common Lisp Hyperspec lispworks.com

    .

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  43. Chapter 7 lispworks.com

    Covers the Common Lisp Object System (CLOS).

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  44. installing an implementation lispcookbook.github.io

    using an implementation manager like Roswell, or on Docker.

  45. Chapter 1 lib.store.yahoo.net

    and Chapter 2 are available online.

    site link ↗
  46. The chapter on closures letoverlambda.com

    Has several non-trivial examples, and demonstrates the power of this feature.

  47. errata page landoflisp.com

    .

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