Intermediate R is designed to help students, especially social science graduate students who have had some experience with R become more comfortable in the R setting. Having trouble reading in data? Handling missing data? Want to convert your R data to Stata or SPSS? Getting a strange error? Have a lot of datasets and need to put them together somehow? This course is designed to answer these types of questions so that the researcher can spend more time conducting analysis and less time yelling at the computer. This class assumes students have taken Introduction to R or have taken at least one class in R. Basics of vectors, matrices, data frames, and OLS models are assumed.
Who should attend:
Intermediate R is designed for social science graduate students interested in pursuing a quantitatively oriented research career. The curriculum is particularly appropriate for students in the middle years of study in social science departments with CSSS tracks (Anthropology, Evans School of Public Affairs, School of Nursing, Political Science, School of Social Work, Sociology, and Urban Design and Planning). We expect Intermediate R tohelp prepare students for advanced statistics courses taught throughCSSS.
When and Where:
August 2 - 4, 2011 & August 9 - 11, 2011
4:30pm - 6:30pm
Smith 220 Computer Lab
University of Washington
Loren Collingwood, Instructor firstname.lastname@example.org.
Applications will now be accepted on a first-come, first-serve basis until class is filled. Space is limited. Priority is given to students in Anthropology, Evans School of Public Affairs, Geography, School of Nursing, Political Science, School of Social Work, Sociology, Urban Design and Planning, and to early applicants.
Download the application form (.doc); email the completed form to email@example.com
A fee of $25 (non-refundable) for students enrolled in CSSS affiliated departments during Fall Quarter 2011.