Suppose we have some glm object such as: myglm <- glm( y ~ x, data=DAT)
Is there an elegant way--or the "right way" within the R way of thinking--to obtain the names of the response variable, the predictor variables, and the dataset, as character strings? For instance, suppose the "right way" was to use the (currently fictitious) functions theresponse(), thepredictors(), and theDataSet(). Then I would be able to write a function that obtains the names and subsequently pastes text along the following lines: theResponse <- theresponse( myglm ) theFirstPredictor <- thepredictors( myglm )[1] theDataSet <- theDataSet(myglm) title(main= paste(theResponse, " is the response and ", theFirstPredictor, " is the only predictor") In reality, I can of course extract > formula(myglm) y ~ x but I see no elegant way to extract the names of the predictor and response from this object. The deparse() function doesn't quite solve this problem: > deparse(formula(myglm)) [1] "y ~ x" > deparse(formula(myglm)[2]) [1] "y()" > deparse(formula(myglm)[3]) [1] "x()" Ideally the elegant method would, in this example, return the character strings "x", "y", and "DAT". Thanks for any insights. Jake Jacob A. Wegelin Assistant Professor Department of Biostatistics Virginia Commonwealth University 730 East Broad Street Room 3006 P. O. Box 980032 Richmond VA 23298-0032 U.S.A. E-mail: jwege...@vcu.edu URL: http://www.people.vcu.edu/~jwegelin [[alternative HTML version deleted]] ______________________________________________ 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.
