Hi Simon, Thanks for your response. I am now running mgcv 1.7-13 on R-2.14. Having fixed this error, I now encounter the following when fitting this model Error in qr.qty(qrx, yn) : 'qr' and 'y' must have the same number of rows Calls: bam -> bgam.fit -> qr.update -> qr.qty -> qr.qty bam(cbind(group0, temp)~1+ as.factor(AGEcat) + HSMF+BachMF+income.cpi+poverty+tobacco+tax+CigSalesPerCap+blacks+hisp+asian+native +s( year.centered , by= fips , bs='cr', k=8) +s( fips , bs='re'), gamma=1.6, family=binomial(link="logit"), data=data My sense is that the error is coming from the term s( year.centered , by= fips , bs='cr', k=8) as if I run the same model with s( year.centered, bs='cr', k=8) I don't get the error. Thus, something about trying to fit these smooths by fips id is causing the error. Do you have any ideas on what might be happening? I recognize it is hard to know without seeing the data.... Thanks again Casey -----Original Message----- From: Simon Wood [mailto:s.wood at bath.ac.uk] Sent: Tuesday, January 31, 2012 2:17 AM To: Casey Olives Cc: 'r-help at r-project.org' Subject: Re: [R] mgcv bam() with grouped binomial data upgrade to the current mgcv version (see last item in changeLog for mgcv 1.7-12)
On 01/30/2012 10:04 PM, Casey Olives wrote:
Hello, I'm trying to use the bam() function in the R mgcv package for a large set of grouped binary data. However, I have found that this function does not take data in the format of cbind(numerator, denominator) on the left hand side of the formula. As an example, consider the following dat1<- data.frame(id=rep(1:6, each=3), num=rbinom(18, size=10, prob=0.8), den=rbinom(18, size=5, prob=0.5), x=rnorm(18)) m1.1<- gam(cbind(num, den) ~ x+s(id, bs="re"), data=dat1, family=binomial) m2.1<- bam(cbind(num, den) ~x+ s(id, bs="re"), data=dat1, family=binomial) Running the above results in
dat1<- data.frame(id=rep(1:6, each=3), num=rbinom(18, size=10, prob=0.8), den=rbinom(18, size=5, prob=0.5), x=rnorm(18)) m1.1<- gam(cbind(num, den) ~ x+s(id, bs="re"), data=dat1, family=binomial) m2.1<- bam(cbind(num, den) ~x+ s(id, bs="re"), data=dat1, family=binomial)
Error in dev.resids(y, mu, weights) : argument mu must be a numeric vector of length 1 or length 36 Is this a known issue? If so, is there a way to handle it? Thank you, Casey [[alternative HTML version deleted]]
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