You are here: Home / Resources / All

Resources: All

Submit a resource

Find a resource
  1. bioinformatics x
  2. statistics x
  3. biology x
  4. r x
  5. climatechange x

  1. Collecting and analyzing binomial data

    0.0 out of 5 stars 

    17 Jul 2020 | Software (On-site) | Contributor(s): Suann Yang, Darcy Taniguchi, Jenny Hazlehurst

    In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.

  2. Swirl

    0.0 out of 5 stars 

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  3. Swirl

    0.0 out of 5 stars 

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  4. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  5. Radiant Lite

    0.0 out of 5 stars 

    24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar

    Stripped down version of Radiant on QUBES

  6. Google Charts Example - Bubble

    0.0 out of 5 stars 

    18 May 2018 | Software (On-site)

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

  7. R Shiny App Example

    0.0 out of 5 stars 

    09 May 2018 | Software (On-site) | Contributor(s): Drew LaMar

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

  8. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  9. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  10. Free Introduction to R Course at DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | 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...

  11. DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | 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...

  12. DataCamp

    0.0 out of 5 stars 

    06 Nov 2016 | Teaching & Reference Material | 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...

  13. Wood Density

    0.0 out of 5 stars 

    15 Oct 2015 | Software (On-site)

    Wood density shiny app

  14. 50 years of Data Science

    0.0 out of 5 stars 

    23 Feb 2016 | Teaching & Reference Material | Contributor(s): David Donoho

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/912More than 50 years ago, John Tukey called for a reformation of academic statistics. In ‘The Future of Data Analysis’, he pointed to the existence of an as-yet...

  15. GENI-ACT

    0.0 out of 5 stars 

    24 Jan 2016 | Software (Off-site)

    GENI-ACT allows collaborative genome annotation. Researchers or students can collectively suggest changes to an existing genome with supporting evidence. Changes can be ported back to genbank by exporting to a sequin file format. GENI-ACT also has ported the education components from IMG-ACT....

  16. AIMS: Dendroclimatology

    0.0 out of 5 stars 

    21 Dec 2015 | Teaching & Reference Material | Contributor(s): Stockton Maxwell, Jeremy M Wojdak

    This resource has been updated - find the current version here: https://qubeshub.org/publications/544/The AIMS (Analyzing Images to learn Mathematics and Statistics) project was founded on the idea that students don't often care much about analysis until they care about...

  17. Course materials for computational genomics using R

    0.0 out of 5 stars 

    19 Nov 2015 | Teaching & Reference Material | Contributor(s): Hong Qin

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/907The R code and data are deposited at Github: https://github.com/hongqin/RCompBio 

  18. Modernizing Statistics Education via Biology Applications

    0.0 out of 5 stars 

    21 Oct 2015 | Teaching & Reference Material | Contributor(s): Olcay Akman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/254In most traditional statistics courses, instructors use data from different fields in an effort to give the courses an interdisciplinary flavor. They generally fail because these attempts...

  19. Data Analysis for the Life Sciences

    0.0 out of 5 stars 

    25 Sep 2015 | Teaching & Reference Material | Contributor(s): Rafael A Irizarry, Michael I Love

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/841An online stats book written completely in R!From the authors:"Data analysis is now part of practically every research project in the life sciences. In this...

  20. Performing a Population Viability Analysis from Data Students Collect on a Local Plant

    0.0 out of 5 stars 

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Noah Chamey, Sydne Record

    This resource has been updated - find the current version here: https://qubeshub.org/publications/264During two lab periods, students collect demographic data on perennial plants and then use these data in a matrix model to perform population viability analyses. During the first lab,...

Close

Home

Search