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Tags: R

All Categories (21-40 of 94)

  1. 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/qubesresources/publications/833/?v=1

  2. 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/qubesresources/publications/832/?v=1

  3. 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/qubesresources/publications/815/?v=1

  4. 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/qubesresources/publications/780/?v=1

  5. 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/qubesresources/publications/779/?v=1

  6. 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/qubesresources/publications/545/?v=2

  7. 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/qubesresources/publications/545/?v=1

  8. Lindsay Alexandra Coome

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

  9. Madeleine Bonsma-Fisher

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

  10. 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

  11. 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/qubesresources/publications/664/?v=1

  12. 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

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

    Collections | 13 Jun 2018 | Posted by Carlos Christopher Goller

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

  14. 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/qubesresources/publications/378/?v=1

  15. 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/qubesresources/publications/609/?v=1

  16. Google Charts Example - Bubble

    18 May 2018

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

  17. 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.

  18. 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/qubesresources/publications/264/?v=1

  19. Radiant

    16 Sep 2015 |

    Business analytics using R and Shiny.

  20. Swirl: Learn R, in R

    Collections | 14 Jul 2017 | Posted by Hayley Orndorf

    swirl teaches you R programming and data science interactively, at your own pace, and right in the R console! For teachers: swirl is a platform for teaching R programming and data science....

    https://qubeshub.org/community/groups/birdd/collections/resources-for-working-with-r