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Collecting and analyzing binomial data
17 Jul 2020 | | Contributor(s):: Suann Yang, Darcy Taniguchi, Jenny Hazlehurst
In this tool, students watch an Internet cat video, collect binomial data on cat paw usage, and graph and analyze the data with a binomial test in R using the swirl package.
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An introduction to population matrix models: a swirl lesson
15 Jun 2020 | Teaching Materials | Contributor(s):
By Jennifer Apple
SUNY Geneseo
Students will learn how to set up a population matrix model in R and use it for demographic analysis of a population, including projecting population growth, determining lambda and the stable age...
https://qubeshub.org/publications/1926/?v=1
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Hardy-Weinberg Equilibrium: a swirl resource
14 Jun 2020 | Teaching Materials | Contributor(s):
By Abigail E. Cahill
Albion College
Students will use swirl to understand Hardy-Weinberg equilibrium. The lesson starts with observed numbers of individuals for each genotype, and students will work through a number of steps to...
https://qubeshub.org/publications/1920/?v=1
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Analyzing Nutrient Simulation Experiments with a one-way ANOVA
09 Jun 2020 | Teaching Materials | Contributor(s):
By Rebecca North
We discuss what tests are appropriate to analyze the data from nutrient simulation experiments. They will conduct one-way ANOVAs and a post hoc test using a dummy dataset and interpret the results.
https://qubeshub.org/publications/1900/?v=1
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Cleaning Data with R and the Tidyverse in Swirl
09 Jun 2020 | Teaching Materials | Contributor(s):
By Rachel Hartnett
Mount St. Mary's University
The overall goal is to help students learn common data cleaning procedures on a dataset once they’ve collected measurements and before they are able to start their analysis. This swirl lesson is...
https://qubeshub.org/publications/1891/?v=1
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Population Ecology in Swirl: Estimating Population Sizes
12 Feb 2020 | Teaching Materials | Contributor(s):
By Mary E McWhirt, Emily Weigel1
Georgia Institute of Technology
The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population
https://qubeshub.org/publications/1353/?v=2
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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/publications/1743/?v=1
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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/publications/1742/?v=1
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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/publications/1741/?v=1
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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/publications/1740/?v=1
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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/publications/1739/?v=1
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Population Ecology in Swirl: Estimating Population Sizes
26 Sep 2019 | Teaching Materials | Contributor(s):
By Mary E McWhirt, Emily Weigel1
Georgia Institute of Technology
The students will learn to estimate population sizes and consider assumptions of mathematical models and their applicability to the ecology of an organism/population
https://qubeshub.org/publications/1353/?v=1
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REMNet Tutorial, Excel Part 4: Focusing on Taxonomy 4.26.19
28 Aug 2019 | Teaching Materials | Contributor(s):
By Jimiane Ashe
Video on analyzing microbiome data in Excel from the Research Experiences in Microbiomes Network
https://qubeshub.org/publications/1307/?v=1
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Marney Pratt
https://qubeshub.org/community/members/12436
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Sampling Distributions and Null Distributions: two swirl lessons in R
10 May 2019 | Teaching Materials | Contributor(s):
By Rachel Hartnett
Oklahoma State University
There are two complementary lessons. The first covers how sampling distributions are made and ID's their key properties. The second covers how null distributions and how the test statistic of a...
https://qubeshub.org/publications/1195/?v=1
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Importing Data into R
10 May 2019 | Teaching Materials | Contributor(s):
By Rachel Hartnett
Oklahoma State University
This short swirl lesson on importing data is designed to 1) get a basic understanding in how tables are read into R and some common issues and 2) develop an individual set of instructions for...
https://qubeshub.org/publications/1166/?v=1
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Histograms and Boxplots
21 Jan 2019 | Teaching Materials | Contributor(s):
By Suann Yang
SUNY Geneseo
This lesson, created for an introductory ecology course, focuses on helping novice R users to import a data file, apply base R plotting functions, and use R Markdown to generate a reproducible report.
https://qubeshub.org/publications/1019/?v=1
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Teaching R with Swirl
19 Jun 2018 | Teaching Materials | Contributor(s):
By Paige Parry
George Fox University
Session presentation on using Swirl, an interactive platform for learning and teaching R in the R console
https://qubeshub.org/publications/664/?v=1
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Rachel Hartnett
I have been an Assistant Professor in Environmental Science at Mount St. Mary's University since the fall of 2021. Previously, I was a CAS Diversity Post Doctoral Fellow in the Integrative Biology...
https://qubeshub.org/community/members/5972