This directory contains lessons, code and data used to teach R in BIO 46: Research in Ecology and Evolution, taught at Stanford University. Lessons were initially developed by Jes Coyle for a class during the 2018 Winter Quarter.

Data analysis exercise 1

In this exercise you will learn:

How to install and load packages with additional functions.
How to read data from a Google spreadsheet.
How a dataframe stores data.
How to subset the rows of a dataframe based on the values in the columns.
How to create a histogram and scatterplot using the ggplot2 package.
Instructions
R code
R lesson markdown file
Answer key

Data analysis exercise 2

In this exercise you will learn:

How to read in data from your computer to a dataframe.
How to name objects correctly.
How to summarize data by a categorical variable in a dataframe.
How to make boxplots.
How to conduct an ANOVA.
How to add a column to a dataframe.
Instructions
R code
R lesson markdown file
Answer key
Required data: W4_isolates.csv

Data analysis exercise 3

In this exercise you will learn:

How to read in data from a web address.
How to join the contents of two data tables by an identifying variable.
How to color the points of a scatterplot by a variable.
How to make barplots.
How to conduct a Chi-squared test.
How to fit a logistic regression model.
Instructions
R code
R lesson markdown file
Answer key

Data analysis plan

In this activity you will create an analysis outline for your research project.

Data analysis summary

This documents summarizes everything taught in the other exercises as well as adds a few more tools.