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Collecting and analyzing binomial data
out of 5 stars
17 Jul 2020 | | Contributor(s):: Suann Yang, Darcy Taniguchi, Jenny Hazlehurst
In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.
10 Jul 2020 |
Swirl: Learn R, in R
Fitting of data by eye
03 May 2020 | | Contributor(s):: Dmitry Kondrashov
Allows user to select parameters to visually fit the plot of a data set
24 Jul 2019 | | Contributor(s):: Drew LaMar
Stripped down version of Radiant on QUBES
Cats Teach Stats Binomial Test
27 Jun 2019 | | Contributor(s):: Jenny Hazlehurst, Suann Yang, Darcy Taniguchi
Fight stats anxiety! Students collect binary data from cute animal videos and analyze the data using a binomial test
26 Apr 2019 | | Contributor(s):: Michael James, Lauren Mayer, Keely Copperthite
Simple agent based SIR model of Ebola epidemics.
Predator-prey models as XPP files
12 Nov 2018 | | Contributor(s):: Eli E Goldwyn
These are the .ode files that XPP takes as input. lv.ode is the Lotka-Volterra predator-prey model rm.ode is the Rosenzweig-MacArthur model rm3.ode is the Rosnezweig-MacArthur model but with predation following a Holling Type III functional response. The file rm.ode is...
Outstanding Oaks: Quercus phenology at NEON sites
09 Oct 2018 | | Contributor(s):: Jackie Matthes
This app visualizes data from the National Ecological Observatory Network (NEON) observations of oak phenology at three different sites.
Gene Machine: The Lac Operon
08 Sep 2018 |
Explore the effects of mutations within the lac operon by adding or removing genes from the DNA.
13 Jul 2018 | | Contributor(s):: Erich Huebner
An extensible environment for interactive and reproducible computing, based on the Jupyter Notebook and Architecture.
Cultivating Your Growth Mindset
22 Jun 2018 | | Contributor(s):: Kika Tuff, Jeremy M Wojdak, Arietta Fleming-Davies
Learn what a growth mindset is and how it improves learning
Investigating Trade-offs among Mammal Traits
07 Jun 2018 | | Contributor(s):: Jackie Matthes
This app draws on a large species-level dataset with metabolic, life history, and ecological traits of most living and recently extinct mammal species. Users can select and plot traits, fit linear models to the data, and query displayed datapoints.
Modeling the Mechanisms of Evolution
25 May 2018 | | Contributor(s):: Jackie Matthes
Simulate population-level mechanisms of evolution: genetic drift, gene flow, and natural selection.
R Shiny App Example
09 May 2018 | | Contributor(s):: Drew LaMar
This is a simple example used to demonstrate what is needed to host your R Shiny app on QUBESHub.
06 Oct 2017 | | Contributor(s):: Robert T Pennock, Diane Blackwood
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/874Avida-ED is an award-winning educational application developed at Michigan State University...
16 Sep 2015 |
Business analytics using R and Shiny.
11 Jun 2017 | | Contributor(s):: Bob Sheehy
This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/842A Hardy-Weinberg based population genetics simulator. This program assumes a single gene and two alleles. Simulation of allele frequency changes similar to...
05 May 2017 | | Contributor(s):: Martin Hunt
Starts the Jupyter notebook server in your "notebooks" directory in your home directory.
Genetic Drift Simulation - NetLogo
22 Jun 2016 | | Contributor(s):: Tony Weisstein
This model simulates genetic drift in a population. The user can control the population size, whether the population is subdivided into separate local populations, and the amount of gene flow (if any) between local populations. Phenotype frequency in each subpopulation is plotted as a...
15 Oct 2015 |
Wood density shiny app