We are a lab that integrates empirical field data with mathematical modeling.
​We have gathered resources to help students with statistics, R programming, and research design.

Research Design & Biostatistics Lectures

• Science Writing part I
• Science Writing part II
• Research Design
• Probability Distributions 
• Statistical Tests I: Chi-squared, t-test
• Statistical Tests II: ANOVA family
• Statistical Tests III: Regression

Statistics Resources

• Choosing the right statistical test for your data: ​​​Statistical reference card
• On-line Stats Book: a great resource for understanding probability distributions, hypothesis testing, and statistical tests
• Ecological Models and Data in R: a great book (and Wiki) to learn how to use statistical modeling in R

R Resources

• ​Common functions & mistakes
• Easy reference look-up: Quick R
• Short R Reference card
• ​Managing data: Data Carpentry 
• R for Data Science
• Version control with GitHub
• Plotting: ggplot cheat sheet, ggplot workshop

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Biostatistics in R Workshop: Code and Data

Dr. Haase developed a biostatistics in R course which is available below.

Code
File Size:	19 kb
File Type:	zip

Download File

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Data
File Size:	345 kb
File Type:	zip

Download File

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