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Tags: R

All Categories (21-40 of 91)

  1. Joya Mukerji

    https://qubeshub.org/community/members/10206

  2. Kate S Boersma

    https://qubeshub.org/community/members/10172

  3. Caitlin Hicks Pries

    https://qubeshub.org/community/members/10140

  4. Introduction to R Course

    05 Nov 2018 | Teaching Materials

    Free Introduction to R Course at DataCamp

    https://qubeshub.org/qubesresources/publications/914/?v=1

  5. R Reference Card

    23 Oct 2018 | Teaching Materials | Contributor(s):

    By Tom Short

    EPRI PEAC

    Summary of reference info for using R

    https://qubeshub.org/qubesresources/publications/840/?v=1

  6. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

    https://qubeshub.org/qubesresources/publications/833/?v=1

  7. Linear Models and Linear Mixed Effects in R: Tutorial 1

    20 Oct 2018 | Teaching Materials | Contributor(s):

    By Bodo Winter

    University of California, Merced

    The first of two tutorials that introduce you to linear and linear mixed models.

    https://qubeshub.org/qubesresources/publications/832/?v=1

  8. Lindsay Alexandra Coome

    https://qubeshub.org/community/members/8278

  9. Madeleine Bonsma-Fisher

    https://qubeshub.org/community/members/8225

  10. Stephen Gosnell

    Stephen is a community ecologist who uses field, lab, and quantitative approaches to understand the causes and consequences of ecological diversity and better manage natural resources. A native of...

    https://qubeshub.org/community/members/8040

  11. A Primer for Computational Biology by Scott O'Neil

    Collections | 19 Jun 2018 | Posted by Sam S Donovan

    https://qubeshub.org/community/groups/summer2018/collections/data-science-resources

  12. A Primer for Computational Biology by Scott O'Neil

    Collections | 13 Jun 2018 | Posted by Carlos Christopher Goller

    https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

  13. Google Charts Example - Bubble

    18 May 2018

    This is the "bubble" example from Joe Cheng's Google Charts package.

  14. R Shiny App Example

    09 May 2018 | | Contributor(s):: Drew LaMar

    This is a simple example used to demonstrate what is needed to host your R Shiny app on QUBESHub.

  15. QUBES: a collaboration and professional development platform for quantitative biology education

    09 May 2018 | Teaching Materials | Contributor(s):

    By Gabriela Hamerlinck

    QUBES, BioQUEST

    Presentation given at BEER 2017 in Normal, IL

    https://qubeshub.org/qubesresources/publications/517/?v=1

  16. Radiant

    16 Sep 2015 |

    Business analytics using R and Shiny.

  17. Swirl: Learn R, in R

    Collections | 14 Jul 2017 | Posted by Hayley Orndorf

    swirl teaches you R programming and data science interactively, at your own pace, and right in the R console! For teachers: swirl is a platform for teaching R programming and data science....

    https://qubeshub.org/community/groups/birdd/collections/resources-for-working-with-r

  18. Free Introduction to R Course at DataCamp

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/914In this introduction to R, you will master the basics of this beautiful open source language, including factors, lists and data frames. With the knowledge gained in this...

  19. DataCamp

    06 Nov 2016 | | Contributor(s):: Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/913The Easiest Way to Learn Data Science OnlineMaster data analysis from the comfort of your browser, at your own pace, tailored to your needs and expertise. Whether...

  20. Chapter 3 – The R Programming Language

    Collections | 20 Jun 2016 | Posted by Lester Caudill

    https://qubeshub.org/community/groups/teaching_r/collections/books-on-r