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  1. Collecting and analyzing binomial data

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    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

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    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  3. Radiant Lite

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

    Stripped down version of Radiant on QUBES

  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. Modeling the Mechanisms of Evolution

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    25 May 2018 | Software (On-site) | Contributor(s): Jackie Matthes

    Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.

  6. Google Charts Example - Bubble

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    18 May 2018 | Software (On-site)

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

  7. R Shiny App Example

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    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

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    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  9. Avida-ED Lab Book Summer 2017

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    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. Mathematical models and theorems

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    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...

  11. The Evolution (and Coevolution) of Flowering Plants

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    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...

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

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    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...

  13. Free Introduction to Python for Data Science Course at DataCamp

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    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...

  14. Free Introduction to R Course at DataCamp

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    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. 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...

  16. 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...

  17. 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...

  18. Training In-Service Teachers to Think Deeply About Modeling in the Common Core Movement

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    11 Oct 2016 | Teaching & Reference Material | Contributor(s): Talitha Washington

    This resource has been updated - find the current version here: https://qubeshub.org/publications/242Over the years, I have conducted in-service teacher training sessions and workshops organized by the Capstone Institute at Howard University. My role has been to enhance teacher content...

  19. A Framework for Modeling to Encourage Interdisciplinary Conversations

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    11 Oct 2016 | Teaching & Reference Material | Contributor(s): Carrie Diaz Eaton

    This resource has been updated - find the current version here: https://qubeshub.org/publications/209Here we present a framework for thinking about what models and modeling are, particularly to other disciplines. We encourage that differing disciplinary approaches are seen as part of a...

  20. A Framework for Teaching Modeling to Biologists

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    10 Oct 2016 | Teaching & Reference Material | Contributor(s): Drew LaMar

    This resource has been updated - find the current version here: https://qubeshub.org/publications/210What are the modeling skills and metacognitive strategies of importance for the life sciences? In this talk, we describe a teaching and learning framework around modeling...

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