home Regression and ANOVA Analyses in R, by Sunthud Pornprasertmanit & Terry Jorgensen

This seminar will extend the knowledge from the Introduction to R class. The topics for this seminar include: (1) simple and multiple regression, (2) interactions and categorical variables multiple regression, (3) diagnostic checks for violation of assumptions, (4) one-way and factorial analysis of variance, and (5) visualizing data for further interpretation. Additional topics (e.g., mediation) may be included as time allows. The class is designed such that any persons who have experienced R for about two hours can understand the course materials. These topics will be addressed through hands-on activities with example data sets and R code templates that you can take and re-use for your future projects. Additionally, time will be available during breaks and at the end of the seminar for individual consultations. Contact: 785-864-3353, quant@ku.edu Department: Center for Research Methods and Data Analysis Ticket Cost: Free Saturday February 16, 2013 1:00pm - 4:00pm Watson Library, 455
University of Kansas
Lawrence KS
Conferences & Tradeshows University & Alumni
Saturday, February 16 @ 1:00 pm

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