Try this: g <- glm(demand ~ Time, BOD, family = gaussian) all.vars(formula(g))
The result will be a character vector whose 1st component is the name of the response and whose subsequent components are the names of the predictor variables. On Sun, Jul 26, 2009 at 3:14 PM, Jacob Wegelin<jacob.wege...@gmail.com> wrote: > 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. > ______________________________________________ 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.
