Dear Sarah, If the data are allegedly bivariate normal, then they are probably two vectors, not one. Assuming that this is the case, I know of nothing quite as neat as a univariate QQ plot to check visually for bivariate normality (perhaps someone else has a suggestion here), but you could superimpose bivariate-normal contours on a scatterplot of the data, perhaps along with a bivariate density estimate. The car and ellipse packages can do the former, while the locfit and sm packages (and possibly others) can do the latter.
I hope this helps, John -------------------------------- John Fox Department of Sociology McMaster University Hamilton, Ontario Canada L8S 4M4 905-525-9140x23604 http://socserv.mcmaster.ca/jfox -------------------------------- > -----Original Message----- > From: [EMAIL PROTECTED] > [mailto:[EMAIL PROTECTED] On Behalf Of sarah english > Sent: Saturday, October 23, 2004 7:34 AM > To: [EMAIL PROTECTED] > Subject: [R] Plotting Bivariate Normal Data > > > Dear list > > I have a vector of values that allegedly have a bivariate > normal distribution. > > > > I want to create a plot that shows the values I have > obtained, and the bivariate normal distribution curve for the data. > > > Is there a way of doing this in R? > > > > > Many thanks for your help, > > Sarah. > > > > > --------------------------------- > > [[alternative HTML version deleted]] > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html