Message-ID: <Pine.LNX.4.61.0503071828510.7898@gannet.stats>
Date: 2005-03-07T18:30:57Z
From: Brian Ripley
Subject: generalised linear models
In-Reply-To: <20050307175101.1CC4122662@webmail219.herald.ox.ac.uk>
On Mon, 7 Mar 2005, Michael Gray wrote:
> To whom this may concern,
>
> I would be very grateful if someone could give me some advice on where I
> am going wrong with a logistic regression I am trying to run. I am
> trying to run a logistic regression on an aggregated data set and have
> input the command:
>
> logistic.mod<-glm(x~Frequency+Location+Sex+Age.Group,family=binomial(link="logit"),data=earsag1.dat)
>
> where x is the count of my response and frequency, location, sex and
> age.group are other variables. However, R gives an error because my
> values of x are not between 0 and 1. Therefore to compensate for this I
> denoted y= x/n where n is the number of people in each group and ran the
> regression
>
> logistic.mod<-glm(y~Frequency+Location+Sex+Age.Group,family=binomial(link="logit"),data=earsag1.dat)
>
> At this point R told me that my y values were not integer values and
> hence there was an error. I do not know how, therefore, to set up the
> logistic regression properly, so I would be very grateful if someone
> could give me some pointers. If I haven't explained anything well
> enough, let me know. Thanks very much for your help,
You have forgotten to set the weights=n. The alternative is to have
response cbind(x, n-x).
See MASS4, p.190.
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595