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Swirl
10 Jul 2020 | Software (On-site)
Swirl: Learn R, in R
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Radiant Lite
24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar
Stripped down version of Radiant on QUBES
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Radiant Lite
24 Jul 2019 | Software (On-site) | Contributor(s): Drew LaMar
Stripped down version of Radiant on QUBES
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Radiant
16 Sep 2015 | Software (On-site)
Business analytics using R and Shiny.
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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)
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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...
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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...
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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...
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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...
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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...
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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...
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Modernizing Statistics Education via Biology Applications
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...
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A Laboratory Class Exploring Microbial Diversity and Evolution Using Online Databases, the Biology Workbench, and Phylogenetics Software
29 Sep 2015 | Teaching & Reference Material | Contributor(s): Sarah Boomer, Kelly Shipley, Bryan Dutton, Daniel Lodge
Students assemble and align bacterial datasets using DNA information downloaded from the National Center for Biotechnology Information website and Biology Workbench. Specifically, they compare unknown original DNA sequences (from, in our case, hot spring communities) to a backbone of...
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HHMI Teacher Guide: Math and Statistics
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...
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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.
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BioRadiant
19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar
Interactive statistics package using R and Shiny.
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Statistical Power for One-Sample t-Test
18 May 2015 | Software (On-site) | Contributor(s): Drew LaMar
Interactive visualization of statistical power for a one-sample t-test.
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A very basic tutorial for performing linear mixed effects analyses: Tutorial 2
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...
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Linear models and linear mixed effects models in R: Tutorial 1
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...
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AIM-UP! GIS and bats lesson
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...