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Data Analysis with R
Five-day Course • June 3 - 7, 2013• Lawrence, Kansas
Presented by the Quantitative Training Program of Psychology and the Center for Research Methods and Data Analysis at the University of Kansas.
Objectives
Get a jump start on using R, the powerful, free statistical software! Begin with data management and basic statistics, then work up to publication quality graphics and advanced modeling tools (GLM, SEM, MI). Ample resources and materials provided.
Audience
The course is well suited for people who have conducted statistical analysis with SPSS, SAS, Stata, or other packages. We begin with elementary issues in installation and inter- action with R. The importation and management of data, creation of plots, calculation of parameter estimates, and simulation of processes and estimators will be addressed. We will assume students are familiar with statistical concepts associated with regression analysis (parameter estimation, standard errors, etc.) and have a basic understanding of the gener- alized linear model (e.g., logistic regression), but one is not required to know these topics in order to learn how R works in general.
Instructors
Paul E. Johnson, Ph.D., Paul Johnson is a political scientist who has been teaching research methodology at the University of Kansas since 1987. A refugee from his early training with SAS & SPSS, he has been an eager proponent of R since 1999 through his Rtips website (http://pj.freefaculty.org/R/Rtips.html).
Pascal R. Deboeck, Ph. D., is an assistant professor of quantitative psychology at the University of Kansas, and an associate of the Gerontology Center of the Schiefelbusch Institute for Life Span Studies at the University of Kansas. He holds a Ph.D. in quantitative psychology from the University of Notre Dame. It is R's versatility which has led Pascal to use it extensively in developing new statistical methodology.
Software and Computer Support
Participants should bring a laptop computer. Before arriving for the summer institute, participants should download and install R from the website http://www.r-project.org/. You will receive a thumb drive containing course files and supplemental course materials, including scripts, data, and output files.
Syllabus
Data Analysis with R
Paul E. Johnson and Pascal R. Doboeck
University of Kansas
| Monday | June 3, 2013 |
| 8:30 - 9:30 | R Installation Assistance (Attendance Not Required) |
| 9:30 - 10:00 | Welcome & Introductions |
| 10:00 - 12:00 | Basic Operations, Packages |
| 12:00 - 1:30 | Lunch * |
| 1:30 - 3:00 | Matrices & Array Creation/Manipulation |
| 3:15 – 4:45 | Loops, Control Statements |
| 5:00 – 8:30 | Free BBQ (burgers, veggie burgers, brats) and open beer/wine bar at Holiday Inn |
| Tuesday | June 4, 2013 |
| 9:00 – 10:20 | Inputting/ Outputting Data, Recoding Data |
| 10:40 - 12:00 | Inputting/ Outputting Data, Recoding Data |
| 12:00 – 1:30 | Lunch * |
| 1:30 – 3:00 | Inputting/Outputting Data, Recoding Data |
| 3:15 – 4:45 | Inputting/Outputting Data, Functions |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Wednesday | June 5, 2013 |
| 9:00 – 10:20 | Basic Statistics |
| 10:40 – 12: 00 | ANOVA & Regression |
| 12:00 – 1:30 | Lunch * |
| 1:30 – 3:00 | Plotting |
| 3:15 – 4:45 | Plotting |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Thursday | June 6, 2013 |
| 9:00 – 10:20 | Generalized Linear Models |
| 10:40 – 12:00 | Generalized Linear Models |
| 12:00 – 1:30 | Lunch * |
| 1:30 – 3:00 | Structural Equation Modeling |
| 3:15 – 4:45 | Structural Equation Modeling |
| 5:45 | Free Bus to Downtown Departs |
| 8:45 | Free Bus returns from Downtown |
| Friday | June 7, 2013 |
| 9:00 – 10:20 | Multiple Imputation |
| 10:40 - 12:00 | Multiple Imputation |
| 12:00 – 1:30 | Lunch * |
* Our group lunch is included in the Holiday Inn room rate and tickets for the group lunch are also available for purchase for those not staying at the Holiday Inn. There are other lunch options in Lawrence as well.
Course Files
Below are links to course files for those who enrolled in the course. The files are password protected to respect the intellectual property rights of the instructors. By using your login information you agree not to share your login information or the content protected by it.
Coming soon.
Contact Information
For information on course content, contact Paul E. Johnson or Pascal R. Doboeck
A full list of prices and fellowship opportunities for this course and all the courses offered at this year's Summer Institutes in Statistics can be found on the Fees and Registration Page.