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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. Radiant Lite

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

    Stripped down version of Radiant on QUBES

  5. Outstanding Oaks: Quercus phenology at NEON sites

    09 Oct 2018 | Software (On-site) | Contributor(s): Jackie Matthes

    This app visualizes data from the National Ecological Observatory Network (NEON) observations of oak phenology at three different sites.

  6. Google Charts Example - Bubble

    18 May 2018 | Software (On-site)

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

  7. 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.

  8. Radiant

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  9. Mathematical models and theorems

    01 Feb 2017 | Teaching & Reference Material | Contributor(s): Winfried Just

    In this module we introduce and compare various types of deterministic and stochastic mathematical models of disease transmission. We then illustrate how one can derive predictions of these models in the form of mathematical theorems.Level: Advanced undergraduate and graduate students of...

  10. The Evolution (and Coevolution) of Flowering Plants

    02 Dec 2016 | Teaching & Reference Material | Contributor(s): Anna Monfils, Debra Linton, Libby Ellwood, Molly Phillips

    This resource has been updated - find the current version here: https://qubeshub.org/publications/277In this laboratory exercise, students will explore the diversity of flower and fruit adaptations that have evolved to accomplish pollination and seed dispersal and investigate the...

  11. An Investigation of Island Biogeography using Data from Online Natural History Collections

    02 Dec 2016 | Teaching & Reference Material | Contributor(s): Libby Beckman, Yadeeh Sawyer, Kayce Bell, Joseph Cook

    This resource has been updated - find the current version here: https://qubeshub.org/publications/278This module guides students through tests of two fundamental rules of island biogeography using specimens collected from the Alexander Archipelago in Southeastern Alaska. The module was...

  12. Free Introduction to Python for Data Science 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/915Python is a general-purpose programming language that is becoming more and more popular for doing data science. Companies worldwide are using Python to harvest insights from...

  13. 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...

  14. 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...

  15. 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...

  16. 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...

  17. Mutation and Selection: An Exploration of Antibiotic Resistance in Serratia marcescens

    15 Sep 2016 | Teaching & Reference Material | Contributor(s): Laurel Hester, Mark Sarvary, Corey Ptak

    This resource has been updated - find the current version here:  https://qubeshub.org/qubesresources/publications/875I published this paper with Mark Sarvary and Corey Ptak in the 2014 Proceedings of the Association for Biology Laboratory Education based on a laboratory module we...

  18. Wood Density

    15 Oct 2015 | Software (On-site)

    Wood density shiny app

  19. Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models

    26 Feb 2016 | Teaching & Reference Material | Contributor(s): William Wimsatt, Jeff Schank

    This resource has been updated - find the current version here: https://qubeshub.org/publications/346Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.

  20. 50 years of Data Science

    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...