Couldn't you do this by subtracting 0.5 + x from your y values and checking for normality with mean 0 and sd = 1 (using ks.test or another test of normality).
If you fail, you'll have to do additional work to find out whether pairs with some particular x value (or range of x values) is causing the problem, but I think this fits the question as stated. Of course, if you have discrete x values, and enough data at each one, you could just run the check for each x. Hope this helps, Matt Wiener -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Vicky Landsman Sent: Thursday, April 07, 2005 3:16 PM To: R-help list Subject: [R] ks.test for conditional distribution Y|x Dear experts, Is it possible to use ks.test function to check the goodness of fit of the conditional distribution Y|X=x? For example, I would like to check that my data (Y,X) come from Norm(0.5+x,1) using KS. Thank you in advance, Victoria Landsman. [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html