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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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
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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