Per http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010 -- and http://rwiki.sciviews.org/doku.php?id=developers:projects:gsoc2010:syrfr -- I am applying to mentor the "Symbolic Regression for R" (syrfr) package for the Google Summer of Code 2010.
I propose the following test which an applicant would have to pass in order to qualify for the topic: 1. Describe each of the following terms as they relate to statistical regression: categorical, periodic, modular, continuous, bimodal, log-normal, logistic, Gompertz, and nonlinear. 2. Explain which parts of http://bit.ly/tablecurve were adopted in SigmaPlot and which weren't. 3. Use the 'outliers' package to improve a regression fit maintaining the correct extrapolation confidence intervals as are between those with and without outlier exclusions in proportion to the confidence that the outliers were reasonably excluded. (Show your R transcript.) 4. Explain the relationship between degrees of freedom and correlated independent variables. Best regards, James Salsman jsals...@talknicer.com http://talknicer.com ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
