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  1. 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).

  2. 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...

  3. A Quick Guide to Teaching R Programming to Computational Biology Students

    03 Jun 2015 | Teaching & Reference Material | Contributor(s): Stephen Eglen

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/838An introduction from an experienced educator in teaching R to computational biology graduate students. Contains information that is relevant for the undergraduate classroom...

  4. BioRadiant

    19 May 2015 | Software (On-site) | Contributor(s): Drew LaMar

    Interactive statistics package using R and Shiny.

  5. 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.

  6. 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.

  7. Ecology and Epidemiology in R

    09 May 2015 | Teaching & Reference Material

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/837

  8. 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...

  9. 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...

  10. AIM-UP! Coal balls lesson

    28 Mar 2015 | Teaching & Reference Material | Contributor(s): Monte Garroutte, Jordan Metzgar, Hirotsugu Mori

    This resource has been updated - find the current version here: https://qubeshub.org/publications/334In this activity, students learn about ancient plant life and climate change by examining coal balls. In addition to the lesson itself, information is provided on where to purchase coal ball...

  11. RStudio IDE for R

    22 Jan 2015 | Software (On-site)

    RStudio is a GUI for R, the statistical programming language.

  12. 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...

  13. Cookbook for R

    10 Jan 2015 | Teaching & Reference Material | Contributor(s): Winston Chang

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/780The goal of the cookbook is to provide solutions to common tasks and problems in analyzing data.