CSSS 508: Introduction to R for Social Scientists: Spring 2005
Syllabus | Week 1 | Week 2 | Week 3 | Week 4 | Week 5 | Week 6 | Week 7 | Week 8 | Week 9 | Week 10 | Final Exam
Description
This course will familiarize graduate students in the social sciences with the R environment for statistical computing.
Instructor |
Cori Mar
Raitt Hall 218C
cmmar@u.washington.edu
(206) 616-6183
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Time and Location |
Friday 10:30am to 11:20am Savery Hall 149
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Optional Lab
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Friday 2 to 3:30
Savery Hall 135
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Textbook
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Dalgaard, Peter (2002). Introductory Statistics with R.
Springer-Verlag New York, ISBN 0-387-95475-9
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Homework
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Weekly reading and R assignments
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Grading
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Homework and final exam
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Office Hours
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TBA and by appointment
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Schedule
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Week 1
Overview
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Overall structure of the language, strengths and weaknesses.
Finding information and resources about R online.
Installing and getting started with R.
R workspace and command line interface.
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Week 2
Basics
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Objects and functions Vectors, arrays, and data frames
Matrix operations Functions that operate on vectors
Reading in and writing out data
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Week 3
Distributions
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Random sampling from a distribution
The pdf, cdf, and quantile functions
Simple loops.
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Week 4
Writing functions
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Passing parameters and returning results
Loops and conditional statements
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Week 5
More on functions
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Doing repeated sampling simulations
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Week 6
Plotting
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Scatterplots, lines, boxplots, histograms etc
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Week 7
More on plotting
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Finer control of plotting parameters
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Week 8
Linear regression
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Using lm, plotting diagnostics
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Week 9
More complex functions
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Putting it all together
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Week 10
Review
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Final exam example
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