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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. Radiant

    0.0 out of 5 stars 

    16 Sep 2015 | Software (On-site)

    Business analytics using R and Shiny.

  4. 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) 

  5. Avida-ED Lab Book Summer 2017

    0.0 out of 5 stars 

    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

    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...

  9. HHMI Teacher Guide: Math and Statistics

    0.0 out of 5 stars 

    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. BioRadiant

    0.0 out of 5 stars 

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

    Interactive statistics package using R and Shiny.

  12. Statistical Power for One-Sample t-Test

    0.0 out of 5 stars 

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

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

  13. 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...

  14. 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...

  15. Numbers Count!: Statistics course

    0.0 out of 5 stars 

    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. 

  16. Java Applets for Power and Sample Size

    0.0 out of 5 stars 

    10 Mar 2015 | Software (Off-site) | Contributor(s): Russell Lenth

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/899From the website:This software is intended to be useful in planning statistical studies.  It is not intended to be used for analysis of data that have already been...

  17. Workshop Statistics: Discovery with Data, A Bayesian Approach

    0.0 out of 5 stars 

    25 Feb 2015 | Teaching & Reference Material | Contributor(s): Jim Albert, Allan Rossman

    From the project website " Workshop Statistics:  Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...

  18. Workshop Statistics: Discovery with Data, A Bayesian Approach

    0.0 out of 5 stars 

    25 Feb 2015 | Teaching & Reference Material | Contributor(s): Jim Albert, Allan Rossman

    From the project website " Workshop Statistics:  Discovery with Data, A Bayesian Approach, Key College Press; ISBN: 1930190123 (coauthored with Allan J. Rossman of Dickinson College) is a collection of classroom and homework activities designed to introduce the student to...

  19. Introductory Science and Mathematics Education for 21st-Century Biologists

    0.0 out of 5 stars 

    24 Feb 2015 | Teaching & Reference Material | Contributor(s): William Bialek, David Botstein

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/830Article abstract:  "Galileo wrote that “the book of nature is written in the language of mathematics”; his quantitative approach to understanding the...

  20. Statistics for biologists

    0.0 out of 5 stars 

    12 Feb 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/897There is no disputing the importance of statistical analysis in biological research, but too often it is considered only after an experiment is completed, when it may be too...

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