Survey Analysis in R

March 21, 2014 to April 18, 2014

Survey Analysis in R

taught by Thomas Lumley

The purpose of this course is to teach survey researchers who are familiar with R how to use it in survey research.  The course uses the Survey package for R, which was created by the instructor.  You will learn how to describe to R the design of a survey; both simple and complex designs are covered.  You will then learn how to get R to produce descriptive statistics and graphs with teh survey data, and also to perform regression analysis on the data.

This course is a core requirement or elective in the following Program(s) in Analytics and Statistical Studies (PASS):

SESSION 1: Describing the Survey Design to R

• The usual 'with-replacement' approximation
  • svydesign()
  • svrepdesign()
• Database-backed designs for large surveys
• Full description of multistage surveys
• Creating replicate weights for a design: as.svrepdesign()

SESSION 2: Summary Statistics

• Computing summary statistics and design effects.
• Extracting information from result objects
• Tables of summary statistics
• Contingency tables: svychisq(), svyloglin()

SESSION 3: Graphics

• Boxplots, histograms, plots of tabular data.
• Strategies for weighting in scatterplots: bubble plots, hexagonal binning, transparency
• Scatterplot smoothers.

SESSION 4: Regression

• Linear models
• Generalized linear models
• Proportional odds and other cumulative link models
• Survival analysis

Survey Analysis in R

Add $50 service fee if you require a prior invoice, or if you need to submit a purchase order or voucher, pay by wire transfer or EFT, or refund and reprocess a prior payment. Please use this printed registration form, for these and other special orders.

Courses may fill up at any time and registrations are processed in the order in which they are received. Your registration will be confirmed for the first available course date, unless you specify otherwise. Those registering for multiple courses, Statistics.com's PASS students, and those affiliated with other academic institutions may be entitled to tuition discounts; read more.

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Survey Analysis in R

taught by Thomas Lumley

Market researchers and social scientists engaged in design of surveys, and analysis of data resulting from surveys.

intermediate

This course takes place online at the Institute for 4 weeks. During each course week, you participate at times of your own choosing - there are no set times when you must be online. Course participants will be given access to a private discussion board. In class discussions led by the instructor, you can post questions, seek clarification, and interact with your fellow students and the instructor.

The course typically requires 15 hours per week. At the beginning of each week, you receive the relevant material, in addition to answers to exercises from the previous session. During the week, you are expected to go over the course materials, work through exercises, and submit answers. Discussion among participants is encouraged. The instructor will provide answers and comments, and at the end of the week, you will receive individual feedback on your homework answers.

1. You may be interested only in learning the material presented, and not be concerned with grades or a record of completion.
2. You may be enrolled in PASS (Programs in Analytics and Statistical Studies) that requires demonstration of proficiency in the subject, in which case your work will be assessed for a grade.
3. You may require a "Record of Course Completion," along with professional development credit in the form of Continuing Education Units (CEU's).  For those successfully completing the course, 5.0 CEU's and a record of course completion will be issued by The Institute, upon request.

You must have a copy of R for the course.  The course uses the Survey package for R, which was created by the instructor.

Click Here for information on obtaining a free copy of R; the web page for Dr. Lumley's Survey package is here.