Instructor: Elena Erosheva C 14C, Padelford Hall (CSSS) elena at stat.washington.edu 

Course description
This course familiarizes students with the R environment for
statistical computing. R is a freely available, multiplatform, and powerful
program for analysis and graphics similar to SPLUS. We will cover the basics
of organizing, managing, and manipulating social science data; basic
applications; introduction to programming; graphics, linear regression,
logistic regression, and links to other major statistical packages. 
Course Text
· Introductory Statistics with R (2008), second edition, by Peter Dalgaard. (Available electronically in the UW library.) Optional Text

Course objectives
· To introduce a number of basic concepts and techniques in R. · To gain familiarity with the R statistical computing environment that should allow students to get started with practical statistics. 
Labs, homework assignments
and grades
·
There will be a
total of five homework assignments. ·
There will be
no final exam, but the final homework will include review of the entire
curriculum. ·
The course will
be graded credit / no credit. You must
obtain at least 50% of points on each assignment in order to receive credit
for this class. ·
The optional
lab session is an open, supportive environment where you may explore R’s
capabilities at your own pace with assistance from the instructor as needed.
During lab, you are welcome to work on homework, on optional practice
problems related to that day’s lecture, or ask questions. ·
I encourage you to work on homework
assignments with each other in small groups,
although it is generally advisable to grapple with the problems alone for a
while before discussing them with others. Each student is required to prepare and submit their own solution and
writeup. ·
Hand in a hard
copy of your homework. Late
homework will be penalized by 25% for each day after the due date, except
in cases of documented emergency or an advance agreement with the instructor.
·
Please type up your homework assignments using
a text editor. Insert relevant graphs
and appropriate parts of the code and output into your writeup. ·
Unless specifically requested, always include
both your code and the relevant output in your writeup. ·
Please read instructions carefully and answer all
questions. It is not enough to copy and paste output that contains key
numbers for the answers – you have to provide answers to all questions in
words. ·
Instructions for asking computing questions:
If you are having a problem getting some code to run, follow the question
format as in "I did X. I expected Y to happen, but Z happened." I
need to be able to replicate your problem in order to help you. 
Students with Disabilities
If
you would like to request academic accommodations due to a disability, please
contact Disabled Student Services, 448 Schmitz, 5438924 (V/TTY). If
you have a letter from Disabled Student Services indicating you have a
disability that requires academic accommodations, please present the letter
to me so we can discuss the accommodations you might need for this class. 