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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...
Chapter 11: Correlation and regression analyses
23 Dec 2020 | Teaching Materials | Contributor(s):
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....
Chapter 10: Two-way analysis of variance
Chapter 9: One-way analysis of variance
Chapter 8: Comparing two means: the t-test
Chapter 7: The normal distribution
Chapter 6: Population proportions and the binomial distribution
Chapter 5: Hypothesis testing
Chapter 4: Probability distributions
Chapter 3: Visualizing data
Chapter 2: Data sampling, accuracy, and precision
Chapter 1: Introduction to R and RStudio
Hardy-Weinberg Equilibrium: a swirl resource
14 Jun 2020 | Teaching Materials | Contributor(s):
By Abigail E. Cahill
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...
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.
Genome Sequence Data in R using Biostrings (Swirl Lesson)
By Robert E Furrow
University of California, Davis
By the end of this lesson, students should be able to load FASTA files into R as DNAStringSets and use width() and alphabetFrequency(), combined with other functions like sum() and mean(), to...
Responses to Climate Change in California Chipmunks: Move, Adapt, or Die
10 Feb 2020 | Teaching Materials | Contributor(s):
By Talisin Hammond1, Rachel E. Walsh2, Eileen Lacey3
1. San Diego Zoo Institute for Conservation Research 2. University of California, Berkeley 3. Museum of Vertebrate Zoology, UC Berkeley
A series of three modules using data from natural history museum collections to examine responses to climate change in multiple chipmunk species. Elevation and morphological data, beginner skills...
Graphing grouped continuous data in R with swirl
13 Jan 2020 | Teaching Materials | Contributor(s):
By Marney Pratt
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.
Conducting Analysis of Variance (ANOVA) in R with swirl
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,...
Interpreting one-factor ANOVA in R with swirl
By Jeremy Claisse
Cal Poly Pomona
Interpreting One-Factor Analysis of Variance (ANOVA)
Checking Normality in R with swirl
By Bill Morgan
The College of Wooster
How to use the "three-prong" approach to check for normality