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Tags: R programming language

All Categories (1-20 of 26)

  1. Graphing grouped continuous data in R with swirl

    13 Jan 2020 | Teaching Materials | Contributor(s):

    By Marney Pratt

    Smith College

    This lesson helps students know some of the options for how to graph grouped continuous data (such as those involved in doing a t-test or ANOVA) and how to choose the best option.

    https://qubeshub.org/qubesresources/publications/1743/?v=1

  2. Conducting Analysis of Variance (ANOVA) in R with swirl

    13 Jan 2020 | Teaching Materials | Contributor(s):

    By Kevin Geyer

    Young Harris College

    This lesson offers an introduction to ANOVA, including 1) how this statistical test can be differentiated from others and 2) a step-by-step guide to conducting and interpreting ANOVA results in R,...

    https://qubeshub.org/qubesresources/publications/1742/?v=1

  3. Interpreting one-factor ANOVA in R with swirl

    13 Jan 2020 | Teaching Materials | Contributor(s):

    By Jeremy Claisse

    Cal Poly Pomona

    Interpreting One-Factor Analysis of Variance (ANOVA)

    https://qubeshub.org/qubesresources/publications/1741/?v=1

  4. Checking Normality in R with swirl

    13 Jan 2020 | Teaching Materials | Contributor(s):

    By Bill Morgan

    The College of Wooster

    How to use the "three-prong" approach to check for normality

    https://qubeshub.org/qubesresources/publications/1740/?v=1

  5. One-way ANOVA in R with swirl

    13 Jan 2020 | Teaching Materials | Contributor(s):

    By Bengt Allen

    California State University Long Beach

    One-way analysis of variance (ANOVA), following the text in Chapter 5 of Beckerman et al. (2017) Getting started with R: an introduction for biologists, 2nd edition.

    https://qubeshub.org/qubesresources/publications/1739/?v=1

  6. Writing Clean Code in R Workshop

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Max Joseph1, Leah Wasser

    Earth Lab - University of Colorado, Boulder

    When working with data, you often spend the most amount of time cleaning your data. Learn how to write more efficient code using the tidyverse in R.

    https://qubeshub.org/qubesresources/publications/1442/?v=1

  7. Earth Analytics in R Course

    15 Oct 2019 | Teaching Materials | Contributor(s):

    By Leah Wasser

    Earth Lab - University of Colorado, Boulder

    Earth analytics is an advanced, multidisciplinary course that addresses major questions in Earth science and teaches students to use the analytical tools necessary to undertake exploration of...

    https://qubeshub.org/qubesresources/publications/1439/?v=1

  8. REMNet Tutorial, R Part 5: Normalizing Microbiome Data in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on normalizing microbiome data from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1314/?v=1

  9. REMNet Tutorial, R Part 4: Creating Taxa Plots in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on making taxa bar plots in R from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1313/?v=1

  10. REMNet Tutorial, R Part 3: Creating Alpha Diversity Plots in R 5.2.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on creating alpha diversity plots in R from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1312/?v=1

  11. REMNet Tutorial, R Part 2: Importing Your Microbiome Data into R 5.3.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on importing data into R from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1311/?v=1

  12. REMNet Tutorial, R Part 1: Getting Started in R with Microbiome Data 5.3.19

    28 Aug 2019 | Teaching Materials | Contributor(s):

    By Jessica Joyner

    CUNY Brooklyn College

    Video on the basics of R software from the Research Experiences in Microbiomes Network

    https://qubeshub.org/qubesresources/publications/1310/?v=1

  13. Exploring how climate will impact plant-insect distributions and interactions using open data and informatics

    06 Jun 2019 | Teaching Materials | Contributor(s):

    By Wendy Clement1, Kathleen Prudic2, Jeffrey Oliver3

    1. The College of New Jersey 2. University of Arizona 3. University of Arizona Libraries

    This teaching module provides an entry point for students to learn about data science, open data repositories (e.g., citizen science data), and species distribution modeling to study the effects of...

    https://qubeshub.org/qubesresources/publications/1286/?v=1

  14. Exploring the population dynamics of wintering bald eagles through long-term data using R

    21 May 2019 | Teaching Materials | Contributor(s):

    By Kristen Kaczynski

    California State University - Chico

    The purpose of this modification was to take the analyses that were done in Excel and have the students perform them using R. Students were not given any R code for this activity, as R code was...

    https://qubeshub.org/qubesresources/publications/1158/?v=1

  15. Investigating human impacts on stream ecology: Intro to R

    08 May 2019 | Teaching Materials | Contributor(s):

    By Kristen Kaczynski

    California State University - Chico

    This resource uses the Human Impact on Stream Ecology data set, background and questions and provides students an very general introduction to using R. Students perform basic summary statistics and...

    https://qubeshub.org/qubesresources/publications/1144/?v=1

  16. The New Statistics with R: An Introduction for Biologist

    Collections | 08 Mar 2019 | Posted by David Leaf

    https://qubeshub.org/community/members/2971/collections/r

  17. Teaching RNAseq at Undergraduate Institutions: A tutorial and R package from the Genome Consortium for Active Teaching

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By Mark Phillip Peterson1, Jacob T Malloy2, Vincent P Buonaccorsi2, James H Marden3

    1. Viterbo University 2. Juniata College 3. Pennsylvania State University

    This lesson plan was created to teach RNAseq analysis as a part of GCAT-SEEK network. It is provided here, both in finished form and with the modifiable source code, to allow flexible adaptation to...

    https://qubeshub.org/qubesresources/publications/1005/?v=1

  18. An Introduction to the R Programming Environment

    04 Jan 2019 | Teaching Materials | Contributor(s):

    By K. A. Garrett1, P. D. Esker1, A. H. Sparks1

    Kansas State University

    An online module introducing students and biologists to R, published in American Phytopathological Society

    https://qubeshub.org/qubesresources/publications/1002/?v=1

  19. An Introduction to Statistical Learning: with Applications in R

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

    By Gareth James1, Daniela Witten2, Trevor Hastie3, Robert Tibshirani3

    1. University of Southern California 2. University of Washington 3. Stanford University

    This book provides an introduction to statistical learning methods and is aimed for upper level undergraduate students, masters students and Ph.D. students in the non-mathematical sciences.

    https://qubeshub.org/qubesresources/publications/847/?v=1

  20. Matt Michael Steffenson

    https://qubeshub.org/community/members/8286