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  1. Swirl

    0.0 out of 5 stars 

    10 Jul 2020 | Software (On-site)

    Swirl: Learn R, in R

  2. 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

  3. Outstanding Oaks: Quercus phenology at NEON sites

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    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.

  4. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  5. 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) 

  6. 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...

  7. 50 years of Data Science

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    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...

  8. Modernizing Statistics Education via Biology Applications

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    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...

  9. HHMI Teacher Guide: Math and Statistics

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    23 Sep 2015 | Teaching & Reference Material | Contributor(s): Paul Strode, Ann Brokaw

    This resource has been updated - find the current version here: https://qubeshub.org/publications/342Topics include measures of average (mean, median, and mode), variability (range and standard deviation), uncertainty (standard error and 95% confidence interval), Chi-square analysis, student...

  10. R Commander

    0.0 out of 5 stars 

    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.

  11. E. coli Citrate Use

    0.0 out of 5 stars 

    11 Aug 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/publications/357Bacteria are excellent model organisms for studying evolution.  They are easy to grow, maintain, and handle under very controlled conditions.  Even more importantly for evolution...

  12. Monkey Opsins

    0.0 out of 5 stars 

    11 Aug 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/publications/356Humans have trichromatic vision. Our eyes detect colors in the visible range of the spectrum using three different cone cell types, each maximally stimulated by a different wavelength of...

  13. BioRadiant

    0.0 out of 5 stars 

    19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

    Interactive statistics package using R and Shiny.

  14. Statistical Power for One-Sample t-Test

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    18 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

    Interactive visualization of statistical power for a one-sample t-test.

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

    0.0 out of 5 stars 

    24 Apr 2015 | Teaching & Reference Material | 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...

  16. Linear models and linear mixed effects models in R: Tutorial 1

    0.0 out of 5 stars 

    24 Apr 2015 | Teaching & Reference Material | Contributor(s): Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...

  17. AIM-UP! GIS and bats lesson

    0.0 out of 5 stars 

    28 Mar 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/publications/335This lesson introduces the use of GIS (geographic information systems) in the study of biological questions, using bats as the model organism. This activity requires access to GIS...

  18. AIM-UP! Coal balls lesson

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    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Monte Garroutte, Jordan Metzgar, Hirotsugu Mori

    This resource has been updated - find the current version here: https://qubeshub.org/publications/334In this activity, students learn about ancient plant life and climate change by examining coal balls. In addition to the lesson itself, information is provided on where to purchase coal ball...

  19. Numbers Count!: Statistics course

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    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Claudia Neuhauser

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/750This course in the Numbers Count! curriculum introduces the basics of statistical analysis, including basic definitions, data visualization, and application. 

  20. Drivers of Avian Local Species Richness: Continental-Scale Gradients, Regional Landscape, or Local Land Cover?

    0.0 out of 5 stars 

    27 Mar 2015 | Teaching & Reference Material | Contributor(s): Tom Langen

    This resource has been updated - find the current version here: https://qubeshub.org/publications/269An ecology laboratory focusing upon the concept of species richness and its study.From the module:  Students learn how to test hypotheses related to the local, regional, and continental...

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