similar to: pls help to print out first row of terms(model) output in example program

Greetings: I'm still working on functions to make it easier for students to interpret regression predictions. I am working out a scheme to more easily create "newdata" objects (for use in predict functions). This has been done before in packages like Zelig, Effects, rms, and others. Nothing is "exactly right," though. Stata users keep flashing their "predicted

Hi Timo, Using RC19, I've have the following crash. If there was a core file, I've got no idea where it's gone... Jan 25 10:35:10 rouge dovecot: imap-login: file client.c: line 528 (client_unref): assertion failed: (client->refcount > 0) Jan 25 10:35:10 rouge dovecot: child 25498 (login) killed with signal 6 Best regards, -- Nico On r?alise qu'une femme est de la dynamite

>From e980153 Tue Apr 25 14:42:27 2000 To: r-help@stat.math.ethz.ch Subject: Wrong SEs in predict.lm(..., type="terms") For what it is worth, I am using RW-1.0.0 under Windows 98. I submitted this earlier to r-help. There is one change below to my proposed corrected code: predict.lm(..., type="terms") gives wrong standard errors. Below, I have provided what I believe are

predict.lm(..., type="terms") gives wrong standard errors. Below, I have provided what I believe are the necessary fixes. However, there are subtleties, and the code needs careful checking. Some of the looping is surely not necessary, but it is surely best to begin with the minimum necessary changes. My tests, including checks against S-PLUS, have extended to fitting spline curves. I

It seems that MASS suggest to judge on the basis of sum(residuals(mode,type="pearson"))/df.residual(mode). My question: Is there any rule of thumb of the cutpoiont value? The paper "On the Use of Corrections for Overdispersion" suggests overdispersion exists if the deviance is at least twice the number of degrees of freedom. Are there any further hints? Thanks. -- Ronggui

I would like to ask for advice from R experts about the benefits or dangers of using attr to return information with an object that is returned from a function. I have a feeling as though I have cheated by using attributes, and wonder if I've done something fishy. Maybe I mean to ask, where is the dividing line between attributes and instance variables? The separation is not clear in my mind