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Tags: R

All Categories (1-20 of 94)

  1. Making boxplots with ggplot2

    Closed | Responses: 1

    Hi all,

    I'd like to be able use R (in which I am a rank novice) to plot out multivariate datasets from Behavior Space simulations in R (in which I am also a rank novice).   In...

    https://qubeshub.org/answers/question/11

  2. A great model to follow....

    14 Dec 2015 | Posted by Jeremy M Wojdak

    Here at QUBES we are trying to build a community of users that are excited to contribute and add their expertise, working together to solve the big problems we all face in quantitative biology...

    https://qubeshub.org/news/blog/2015/12/a-great-model-to-follow

  3. 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

  4. 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

  5. A Primer in Biological Data Analysis and Visualization Using R

    Collections | 05 Jun 2015 | Posted by Wendy Jo Levenson

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

  6. A Primer in Biological Data Analysis and Visualization Using R

    Collections | 08 Mar 2019 | Posted by David Leaf

    https://qubeshub.org/community/members/2971/collections/r

  7. A Quick Guide to Teaching R Programming to Computational Biology Students

    03 Jun 2015 | | Contributor(s):: Stephen Eglen

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/838An introduction from an experienced educator in teaching R to computational biology graduate students. Contains information that is relevant for the undergraduate classroom...

  8. A Quick Guide to Teaching R Programming to Computational Biology Students

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

    By Stephen Elgen

    University of Cambridge

    An introduction from an experienced educator in teaching R to computational biology graduate students.

    https://qubeshub.org/qubesresources/publications/838/?v=1

  9. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

  10. 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

  11. An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens

    07 Jun 2018 | Teaching Materials | Contributor(s):

    By Aditi Pai1, Amanda Gibson2

    1. Spelman College 2. Emory University

    Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop

    https://qubeshub.org/qubesresources/publications/609/?v=1

  12. Feb 27 2015

    An In-Depth Introduction to Using R for HPC

    Organizers: Drew Schmidt: Extreme Science and Engineering Discovery Environment (XSEDE), National Institute for Computational Sciences (NICS) Eric Carr, NIMBioS Objectives: By some measures, R is...

    https://qubeshub.org/news/events/details/128

  13. An Introduction to the R Programming Environment

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By K. A. Garrett1, P. D. Esker1, A. H. Sparks1

    Kansas State University

    An online module introducing students and biologists to R, published in American Phytopathological Society

    https://qubeshub.org/qubesresources/publications/1002/?v=1

  14. BIO 181G: The information age

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO181G: The information age

    https://qubeshub.org/qubesresources/publications/883/?v=1

  15. BIO 263 Ecological Data Analysis

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 263 Ecological Data Analysis

    https://qubeshub.org/qubesresources/publications/885/?v=1

  16. BIO 439/539: Big Data Analysis

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    Course materials for BIO 439/539: Big Data Analysis

    https://qubeshub.org/qubesresources/publications/884/?v=1

  17. BIO103R: Bio 103 and 104 Labs in R at URI

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

    By Rachel Schwartz1, Linda Forrester1

    University of Rhode Island

    GitHub repository for Bio 103 and 104 Labs in R at University of Rhode Island

    https://qubeshub.org/qubesresources/publications/886/?v=1

  18. BioRadiant

    19 May 2015 | | Contributor(s):: Drew LaMar

    Interactive statistics package using R and Shiny.

  19. Bruce J Cochrane

    https://qubeshub.org/community/members/1449

  20. Caitlin Hicks Pries

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