Sept 6 (Fri): 11am 2nd day of introduction to R in F94
Sept 7/8 (weekend!) Work on learning R. Do Josh's 2nd
practice to confirm you are good with R. Turn it in on
Wednesday. If you have R down, you should start on HW 1. At any rate, start reading
Berndt chapter 2.
Office hours: Thursday at 2pm (Huntsman 472). Or email me for an appointment.
submit all exercises to email@example.com
Exercises (to introduce you to R. These are not that
important--they are mostly for your benefit.)
Assignments (or more accurately, cases)
Final project (in a group of two students or individual)
Note: You are the best students on campus. I have very high
expecations on what you will learn this semester. On student
evaluations, this class is often listed as requiring the most work of
any class taken at Wharton.
We will be using R (free) as our statistics
package. I'll be using R in class. The book is on R. Statistics
revolves around R.
Two useful books on R:
Introductory Statistics with R by Peter Dalgaard, 2nd edition, ISBN 978-0-387-79053-4, Springer 2008 (paperback).
Linear Models with R by Julian J. Faraway, ISBN 1-58488-425-8,
Chapman & Hall/CRC Press 2005, (hardback)
In future years, I might have the students read Big Data: A Revolution That Will Transform How We Live, Work, and.
See the end of this page for other data sets of interest
KOPCKE data for homework 4: (raw
data) Note strange file format. You WILL need to edit
it! If you read it into a text editor you will see that
there are TWO different columns of number. Here are some comments on the