Tags: R

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  1. A Primer in Biological Data Analysis and Visualization Using R

    Collections | 05 Jun 2015 | Posted by Wendy Jo Levenson

    https://qubeshub.org/community/groups/teaching_r/collections/books-about-using-r

  2. Introductory Statistics with R

    Collections | 05 Jun 2015 | Posted by Wendy Jo Levenson

    https://qubeshub.org/community/groups/teaching_r/collections/books-about-using-r

  3. Getting Started with R: An Introduction for Biologists

    Collections | 05 Jun 2015 | Posted by Wendy Jo Levenson

    https://qubeshub.org/community/groups/teaching_r/collections/books-about-using-r

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

    03 Jun 2015 | | 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...

  5. BioRadiant

    19 May 2015 | | Contributor(s):: Drew LaMar

    Interactive statistics package using R and Shiny.

  6. Statistical Power for One-Sample t-Test

    18 May 2015 | | Contributor(s):: Drew LaMar

    Interactive visualization of statistical power for a one-sample t-test.

  7. R for biologists

    18 May 2015 | | 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.

  8. Bruce J Cochrane

    https://qubeshub.org/community/members/1449

  9. Ecology and Epidemiology in R

    09 May 2015 |

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

  10. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    24 Apr 2015 | | 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...

  11. Linear models and linear mixed effects models in R: Tutorial 1

    24 Apr 2015 | | 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...

  12. Feb 27 2015

    An In-Depth Introduction to Using R for HPC

    Organizers: Drew Schmidt: Extreme Science and Engineering Discovery Environment (XSEDE), National Institute for Computational Sciences (NICS) Eric Carr, NIMBioS Objectives: By some measures, R is...

    https://qubeshub.org/news/events/details/128

  13. RStudio IDE for R

    22 Jan 2015 |

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

  14. IPMpack: an R package for Integral Projection Models

    19 Jan 2015 | | 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...

  15. Cookbook for R

    10 Jan 2015 | | 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.