Diff for "HLPMiniCourseSession1"

Differences between revisions 9 and 10

Session 1: Linear regression

May 29 2008

This session will cover the basics of linear regression. See below for a [#Topics list of topics].

G&H07	Chapter 3 (pp. 29-49)	Linear regression: the basics
Baa08	Section 4.3.2 (pp. 91 - 105)	Functional relations: linear regression
	Sections 6 - 6.2.1 (pp. 181-198)	Regression Modeling (Introduction and Ordinary Least Squares Regression)
	Section 6.6 (pp. 258-259)	General considerations

Feel free to add terms you want clarified in class:

Send your solutions to Andrew Watts, who will upload them here. Please send them by Friday 3:30pm.

G&H07	Section 3.9 (pp. 50-51)	Exercises 3 and 5
Baa08	Section 4.7 (p. 126)	Exercises 3 and 7*

* (for Exercise 7, Baayen treats linear regression using lm or ols as the same as analysis of covariance (see section 4.4.1 (pp. 117-119))).

Using a command line
- command history, continuation lines, stopping execution BR defining variables BR calling functions
Installing packages
- install.package(), update.package()
Using the R workspace
- ls(), rm(), setwd(), getwd(), library()
Using an R script file
Saving R objects
- save(), save.image()

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