Analyzing Continuous Data

In this unit, you will become familiar with running and plotting correlations and regression in R.

Follow the links to each lecture, lab, and reading.

Scroll down to download the SWIRL lessons.

Lesson 1. How to test for correlation and causation

Lecture: Testing associations

Learning Goals:

SWIRL: Testing_Associations

Lab: Unit 4: Lab 1

Reading: Crawley, M. The R Book. Ch 10 Regression.

Functions: ks.test(), cor(), lm(), abline(), coef().

Lesson 2. How to work with multiple predictors

Lecture: Multiple regression

Learning Goals:

SWIRL: Testing_Associations

Lab: Unit 4: Lab 2

Reading: Crawley, M. The R Book. Ch 12. Analysis of Covariance.

Functions:

Lesson 3. How to deal with binomial and count data

Lecture:

Learning Goals:

SWIRL:

Lab: Unit 4: Lab 3

Reading: Crawley, M. The R Book. Chs 13–17.

Functions: glm(), predict(), lines().

Lesson 4. How to modify standard plots

Lecture: Modifying plots

Best Practice: Principles of graphic design

Learning Goals:

SWIRL: Modifying default graphs

Exercises: Unit 4 Exercises

Lab: Unit 4: Recap

Reading: Chart Chooser

Functions: plot(), par(),