All Categories (61-80 of 135)

1. Ecology and Epidemiology in R

   22 Oct 2018 | Teaching Materials | Contributor(s):

   By Paul Esker

   Kansas State University

   Ecology and epidemiology in R: Modeling dispersal gradients.

   https://qubeshub.org/publications/837/?v=1

2. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Bodo Winter

   University of California, Merced

   The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

   https://qubeshub.org/publications/833/?v=1

3. Linear Models and Linear Mixed Effects in R: Tutorial 1

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Bodo Winter

   University of California, Merced

   The first of two tutorials that introduce you to linear and linear mixed models.

   https://qubeshub.org/publications/832/?v=1

4. R for biologists

   18 Oct 2018 | Teaching Materials | Contributor(s):

   By Marco Martinez

   University of Tennessee - Knoxville

   An introductory guide to data analysis in R for life sciences researchers.

   https://qubeshub.org/publications/815/?v=1

5. Cookbook for R

   11 Sep 2018 | Teaching Materials | Contributor(s):

   By Winston Chang

   The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.

   https://qubeshub.org/publications/780/?v=1

6. IPMpack: an R package for Integral Projection Models

   11 Sep 2018 | Teaching Materials | Contributor(s):

   By C. Jessica E. Metcalf¹, Sean M. McMahon², Roberto Salguero-Gómez³, Eelke Jongejans⁴, Cory Merow⁵

   1. University of Oxford 2. Smithsonian Tropical Research Institute 3. University of Queensland 4. Radbound University Nijmegen 5. STRI and University of Connecticut

   IPMpack is an R package (R Development Core Team 2013) that allows users to build and analyse Integral Projection Models.

   https://qubeshub.org/publications/779/?v=1

7. Phenotypic plasticity and predation

   29 Aug 2018 | Teaching Materials | Contributor(s):

   By Jeremy M Wojdak¹, Justin Touchon²

   1. Radford University 2. Vassar College

   Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

   https://qubeshub.org/publications/545/?v=2

8. Phenotypic plasticity and predation

   24 Aug 2018 | Teaching Materials | Contributor(s):

   By Jeremy M Wojdak¹, Justin Touchon²

   1. Radford University 2. Vassar College

   Students predict changes to tadpole morphology and coloration after considering characteristics of the predator species and the prey themselves then test their own hypotheses (typically with...

   https://qubeshub.org/publications/545/?v=1

9. 

   Lindsay Alexandra Coome

   https://qubeshub.org/community/members/8278

10. 

    Madeleine Bonsma-Fisher

    https://qubeshub.org/community/members/8225

11. 

    J. Stephen Gosnell

    Stephen is a community ecologist who uses field, lab, and quantitative approaches to understand the causes and consequences of ecological diversity and better manage natural resources. A native of...

    https://qubeshub.org/community/members/8040

12. Teaching R with Swirl

    19 Jun 2018 | Teaching Materials | Contributor(s):

    By Paige Parry

    George Fox University

    Session presentation on using Swirl, an interactive platform for learning and teaching R in the R console

    https://qubeshub.org/publications/664/?v=1

13. A Primer for Computational Biology by Scott O'Neil

    Collections | 19 Jun 2018 | Posted by Sam S Donovan

    https://qubeshub.org/community/groups/summer2018/collections/data-science-resources

14. A Primer for Computational Biology by Scott O'Neil

    Collections | 13 Jun 2018 | Posted by Carlos C. Goller

    https://qubeshub.org/community/groups/hits/collections/learning-tools-how-to-use-analysis-tools

15. Painting turtles: an introduction to species distribution modeling in R

    12 Jun 2018 | Teaching Materials | Contributor(s):

    By Anna Carter

    Iowa State University

    This module uses R software to introduce students to the process of accessing databases and building species distribution models based on occurrence records.

    https://qubeshub.org/publications/378/?v=1

16. An evolution curriculum designed around understanding the rise and spread of drug-resistant pathogens

    07 Jun 2018 | Teaching Materials | Contributor(s):

    By Aditi Pai¹, Amanda Gibson²

    1. Spelman College 2. Emory University

    Poster on teaching concepts in evolution and data science skills in an upper level Biology elective at Spelman College presented at the 2018 QUBES/BioQUEST Summer Workshop

    https://qubeshub.org/publications/609/?v=1

17. Google Charts Example - Bubble

    out of 5 stars 

    18 May 2018

    This is the "bubble" example from Joe Cheng's Google Charts package.

18. R Shiny App Example

    out of 5 stars 

    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.

19. Performing a Population Viability Analysis from Data Students Collect on a Local Plant

    05 Jan 2018 | Teaching Materials | Contributor(s):

    By Noah Chamey¹, Sydne Record²

    1. Hampshire College 2. Harvard University

    Experiment included in Teaching Issues and Experiments in Ecology (TIEE) Volume 9

    https://qubeshub.org/publications/264/?v=1

20. Radiant

    out of 5 stars 

    16 Sep 2015 |

    Business analytics using R and Shiny.