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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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Introduction to Genome Browser: What is a Gene?
21 Feb 2018 | Teaching & Reference Material | Contributor(s): Joyce Stamm
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/850 Genes encode information that our cells use to carry out their functions. In particular,...
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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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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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Numbers Count!: Statistics course
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.