Support

All Categories (1-20 of 778)

1. Riverbird distributions and habitat use

   26 Jan 2021 | Teaching Materials | Contributor(s):

   By John McLaughlin

   Western Washington University

   Students determine habitat use by birds associated with rivers, using data collected while moving downriver in boats. They use R to calculate resource selection functions for each species. Results...

   https://qubeshub.org/publications/2238/?v=1

2. Biostatistics using R: A Laboratory Manual

   22 Jan 2021 | Teaching Materials | Contributor(s):

   By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

   California State University-Long Beach

   Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language to...

   https://qubeshub.org/publications/2213/?v=1

3. Data Management in Excel and R using National Ecological Observatory Network's (NEON) Small Mammal Data

   13 Jan 2021 | Datasets | Contributor(s):

   By Marguerite Mauritz¹, Sarah McCord²

   1. University of Texas at El Paso 2. USDA ARS Jornada Experimental Range

   Students use small mammal data from the National Ecological Observatory Network to understand necessary steps of data management from data collection to data analysis by re-organising excel sheets...

   https://qubeshub.org/publications/2215/?v=1

4. The Ames Test

   08 Jan 2021 | Teaching Materials | Contributor(s):

   By Nathan Goodson-Gregg, Elizabeth A. De Stasio

   Introduction to the Ames Test, published as GSA Learning Resource

   https://qubeshub.org/publications/987/?v=2

5. Investigating human impacts on Southeastern US stream ecology using R

   01 Jan 2021 | Teaching Materials | Contributor(s):

   By Alicia Caughman¹, Emily Weigel¹

   Georgia Institute of Technology

   Adaptation of the "Investigating human impacts on stream ecology: Scaling up from Local to National with a focus on the Southeast" specifically to focus on self-paced R code instruction

   https://qubeshub.org/publications/2220/?v=1

6. Yeti or not: Do they exist?

   31 Dec 2020 | Teaching Materials | Contributor(s):

   By Keith Johnson¹, Adam Kleinschmit², Jill Rulfs³, William (Bill) Morgan⁴

   1. Bradley University College of Liberal Arts and Sciences 2. University of Dubuque 3. Worcester Polytechnic Institute 4. The College of Wooster

   Through this 4-part bioinformatics case study, students will be led through the forensic analysis of putative Yeti artifacts based on published findings.

   https://qubeshub.org/publications/1832/?v=3

7. Investigating Evidence for Climate Change (Project EDDIE) with CO2 and 13CO2 data: adapted for R

   23 Dec 2020 | Teaching Materials | Contributor(s):

   By Marguerite Mauritz

   University of Texas at El Paso

   This is an adaptation to work in R of Investigating Evidence for Climate Change (Project) by Hage, M. 2020. Students will investigate geologic and modern evidence for global temperature and...

   https://qubeshub.org/publications/2214/?v=1

8. Chapter 11: Correlation and regression analyses

   23 Dec 2020 | Teaching Materials | Contributor(s):

   By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

   California State University-Long Beach

   Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

   https://qubeshub.org/publications/2212/?v=1

9. Chapter 10: Two-way analysis of variance

   23 Dec 2020 | Teaching Materials | Contributor(s):

   By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

   California State University-Long Beach

   Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

   https://qubeshub.org/publications/2211/?v=1

10. Chapter 9: One-way analysis of variance

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2210/?v=1

11. Chapter 8: Comparing two means: the t-test

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2209/?v=1

12. Chapter 7: The normal distribution

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2208/?v=1

13. Chapter 6: Population proportions and the binomial distribution

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2207/?v=1

14. Chapter 5: Hypothesis testing

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2206/?v=1

15. Chapter 4: Probability distributions

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2205/?v=1

16. Chapter 3: Visualizing data

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2204/?v=1

17. Chapter 2: Data sampling, accuracy, and precision

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2203/?v=1

18. Chapter 1: Introduction to R and RStudio

    23 Dec 2020 | Teaching Materials | Contributor(s):

    By Raisa Hernández-Pacheco¹, Alexis A Diaz¹

    California State University-Long Beach

    Biostatistics Using R: A Laboratory Manual was created with the goals of providing biological content to lab sessions by using authentic research data and introducing R programming language....

    https://qubeshub.org/publications/2202/?v=1

19. Introduction to R with Biodiversity Data

    16 Dec 2020 | Teaching Materials | Contributor(s):

    By Shelly Gaynor

    University of Florida

    Students will learn R basics while downloading biodiversity data from multiple data repositories. This module will walk students through installing R, navigating R,writing reproducible scripts in...

    https://qubeshub.org/publications/2199/?v=1

20. iBEARS Poster

    14 Dec 2020 | Teaching Materials | Contributor(s):

    By Michael Edward Moore¹, Tracey Sulak², Marty Harvill², Penny Thompson³, Brad Christian⁴

    1. University of California Davis 2. Baylor University 3. Oklahoma State University 4. McLennan Community College

    A description of the new NSF INCLUDES iBEARS network including background, project goals, project outcomes, connections to be made through QUBES, and future directions.

    https://qubeshub.org/publications/2188/?v=1