Hi Casey,
any chance that you could send me the data off list (under a strict
undertaking to not use it for anything but this de-bugging of course)? I
can't immediately reproduce the problem by simulating similar, but it
certainly looks like a bug.
best,
Simon
On 02/02/2012 01:54 AM, Casey Olives wrote:
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.w...@bath.ac.uk]
Sent: Tuesday, January 31, 2012 2:17 AM
To: Casey Olives
Cc: 'r-help@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]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
