The man page tells you that y must be a factor. Is it?
-- Bert
On Tue, Sep 20, 2011 at 5:25 PM, Noah <noah.hu@hotmail.com> wrote:
> Hello,
>
> I got an error message saying
>
> Error in lognet(x, is.sparse, ix, jx, y, weights, offset, alpha, nobs, :
> NA/NaN/Inf in foreign function call (arg 5)
>
> when I try to analysis a binary trait using glmnet(R) by running the
> following code
>
> library(glmnet)
> Xori <- read.table("c:\\SNP.txt", sep='\t');
> Yori <- read.table("c:\\Trait.txt", sep=',');
> Y=as.matrix(Yori);
> X=t(as.matrix(Xori));
> fit1=glmnet(X, Y, family="binomial");
>
> in the above, X is a matrix with values 1, 0, and -1; Y is a one column
> matrix with values 1 and 0.
>
> I know how to analysis continuous traits using glmnet, but I have no idea
> about how to do it for binary dependent variables. I will appreciate it if
> you would give me any suggestion about this error or provide an example
> code
> for handling binary trait using glmnet.
>
> Looking forward for your kindly help.
>
> Thanks!
>
> Noah
>
> --
> View this message in context:
>
http://r.789695.n4.nabble.com/glmnet-for-Binary-trait-analysis-tp3828547p3828547.html
> Sent from the R help mailing list archive at Nabble.com.
>
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> and provide commented, minimal, self-contained, reproducible code.
>
--
"Men by nature long to get on to the ultimate truths, and will often be
impatient with elementary studies or fight shy of them. If it were possible
to reach the ultimate truths without the elementary studies usually prefixed
to them, these would not be preparatory studies but superfluous
diversions."
-- Maimonides (1135-1204)
Bert Gunter
Genentech Nonclinical Biostatistics
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