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Introduction to Probability, Statistics, and Random Processes
07 Nov 2016 | Teaching & Reference Material | Contributor(s): Hossein Pishro-Nik
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/896Check out the textbook called Introduction to Probability, Statistics, and Random Processes by Hossein Pishro-Nik. From the website: "It is an open access...
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IPMpack: an R package for Integral Projection Models
19 Jan 2015 | Software (Off-site) | Contributor(s): C. Jessica E. Metcalf, Sean M. McMahon, Roberto Salguero-Gómez, Eelke Jongejans, Cory Merow
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/779IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models. An IPM is a demographic tool to explore the...
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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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Modeling the Mechanisms of Evolution
25 May 2018 | Software (On-site) | Contributor(s): Jackie Matthes
Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.
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Modeling: A Primer - The crafty art of making, exploring, extending, transforming, tweaking, bending, disassembling, questioning, and breaking models
26 Feb 2016 | Teaching & Reference Material | Contributor(s): William Wimsatt, Jeff Schank
This resource has been updated - find the current version here: https://qubeshub.org/publications/346Explore how to use, analyze, and criticize some important and historically influential models in biology in this text only module.
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ModelSim Population Biology Unit
18 May 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/902This resource provides rich student modeling activities and materials, teacher resources, and much more, in the realm of agent based models applied to population biology....
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Numbers Count!: Calculus 2 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/751Based upon the University of Minnesota Bachelor's of Science in Health Science calculus curriculum (part 2), this course introduces linear transformations,...
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Performing a Population Viability Analysis from Data Students Collect on a Local Plant
23 Sep 2015 | Teaching & Reference Material | Contributor(s): Noah Chamey, Sydne Record
This resource has been updated - find the current version here: https://qubeshub.org/publications/264During two lab periods, students collect demographic data on perennial plants and then use these data in a matrix model to perform population viability analyses. During the first lab,...
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Project MOSAIC
23 Jan 2015 | Teaching & Reference Material | Contributor(s): Daniel Kaplan, Karl-Dieter Crisman, Nicholas Horton, Eric Marland, Randall Pruim
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/825From the project website: Project MOSAIC is a community of educators working to develop a new way to introduce mathematics, statistics, computation and modeling...
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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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R for biologists
18 May 2015 | Teaching & Reference Material | Contributor(s): Marco Martinez
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/815An introductory guide to data analysis in R for life sciences researchers.
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R Reference Card
02 Sep 2015 | Teaching & Reference Material | Contributor(s): Tom Short
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/840by Tom Short, EPRI PEAC, tshort@epri-peac.com 2004-11-07Granted to the public domain. See www.Rpad.org for the source and latest version. Includes material from R...
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R Shiny App Example
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.
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R Shiny Basics
17 Aug 2015 | Teaching & Reference Material | Contributor(s): Claire K. Lunch, Christine M. Laney
A nice introduction to building apps with R Shiny. Written by the folks at NEON (National Ecological Observatory Network).
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Radiant
16 Sep 2015 | Software (On-site)
Business analytics using R and Shiny.
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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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Rstudio cheatsheets
17 Aug 2015 | Teaching & Reference Material
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/839Cheatsheets are quickstart guides to using some of the most popular packages and features of Rstudio. This link will direct you to the following cheatsheets:Shiny...
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RStudio IDE for R
22 Jan 2015 | Software (On-site)
RStudio is a GUI for R, the statistical programming language.
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SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations
16 Oct 2015 | Teaching & Reference Material | Contributor(s): Brian Winkel
SIMIODE - Systemic Initiative for Modeling Investigations and Opportunities with Differential Equations is about teaching differential equations using modeling and technology upfront and throughout the learning process. You can learn more at our dynamic website, www.simiode.org, where we...
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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.