R-helpers: I'm having some trouble with this one -- I figure because I'm a bit of a noob with S3 classes... Here's my challenge: I want to write a custom predict statement that is triggered based on the presence and class of a *newdata* parameter (not the "object" parameter). The reason is I am trying to write a custom function based on an oddly formatted dataset that has been assigned an R class. If the predict function "detects" it (class(newdata) == "myweirdformat") it does a conversion of the newdata to what most predict statements expect (e.g. a dataframe) and then passes the converted dataset along to the generic predict statement. If newdata is missing or is not of the odd class it should just pass everything along to the generic predict as usual.
What would be the best way to approach this problem? Since (my understanding) is that predict is dispatched based on the object parameter, this is causing me confusion -- my object should still remain the model, I'm just allowing a new data type to be fed into the predict model(s). Cheers! --j -- Jonathan A. Greenberg, PhD Assistant Professor Global Environmental Analysis and Remote Sensing (GEARS) Laboratory Department of Geography and Geographic Information Science University of Illinois at Urbana-Champaign 259 Computing Applications Building, MC-150 605 East Springfield Avenue Champaign, IL 61820-6371 Phone: 217-300-1924 http://www.geog.illinois.edu/~jgrn/ AIM: jgrn307, MSN: jgrn...@hotmail.com, Gchat: jgrn307, Skype: jgrn3007 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
