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  1. Collecting and analyzing binomial data

    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

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  3. Radiant Lite

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

    Stripped down version of Radiant on QUBES

  4. Google Charts Example - Bubble

    18 May 2018 | Software (On-site)

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

  5. R Shiny App Example

    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.

  6. Introduction to Genome Browser: What is a Gene?

    21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...

  7. Introduction to Genome Browser: What is a Gene?

    21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...

  8. Radiant

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  9. Avida-ED Lab Book Summer 2017

    27 Jul 2017 | Teaching & Reference Material | Contributor(s): Wendy Johnson, Cory Kohn, Amy Lark, Louise Mead, Robert T Pennock, Jim Smith, Michael James Wiser

    The Summer 2017 version of the Avida-ED Lab Manual includes the addition of an exercise that covers genetic drift (Exercise 4: Exploring Population Change Without Selection) 

  10. Free Introduction to R Course at DataCamp

    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

    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. Wood Density

    15 Oct 2015 | Software (On-site)

    Wood density shiny app

  13. AIMS: Dendroclimatology

    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...

  14. Course materials for computational genomics using R

    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 

  15. Data Analysis for the Life Sciences

    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...

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

    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,...

  17. Global Temperature Change in the 21st Century

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Daniel R. Taub, Gillian S. Graham

    This resource has been updated - find the current version here: https://qubeshub.org/publications/263The Ecological QuestionHow might global temperature change during the 21st century?  How might these changes vary geographically, seasonally, and depending upon future human...

  18. Changes in Lake Ice: Ecosystem Response to Global Change

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Robert E. Bohanan, Marianne Krasny, Adam Welman

    This resource has been updated - find the current version here: https://qubeshub.org/publications/266Ecological QuestionIs there evidence for global warming in long term data on changes in dates of ice cover in three Wisconsin Lakes?This activity uses ice cover records from three lakes in...

  19. Investigating the Footprint of Climate Change on Phenology and Ecological Interactions in North-Central North America

    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Kellen M. Calinger

    This resource has been updated - find the current version here: https://qubeshub.org/publications/267The Ecological QuestionHave long-term temperatures changed throughout Ohio? How will these temperature changes impact plant and animal phenology, ecological interactions, and, as a result,...

  20. R Commander

    04 Sep 2015 | Software (On-site) | Contributor(s): Drew LaMar

    R provides a powerful and comprehensive system for analysing data and when used in conjunction with the R-commander (a graphical user interface, commonly known as Rcmdr) it also provides one that is easy and intuitive to use.