R version: 0.62.1 (June 15, 1998)
I just very naively attempted to grab the 'bicreg' package for
Bayesian model selection from the StatLib library, and get it running
under R.
I've hit a brick wall very quickly, and as an R novice I'm not sure
where to go next.
Here's what happened:
> bicreg(as.matrix(hiv[,c(-17,-18)]),as.matrix(hiv[,18]))
Error: invalid formula
> traceback()
[1] "stop(\"invalid formula\")"
[2] "switch(mode(x), NULL = structure(NULL, class = \"formula\"),
character = formula(eval(parse(text = x)[[1]])), "
[3] "\t call = eval(x), stop(\"invalid formula\"))"
[4] "formula.default(cdf)"
[5] "model.matrix(formula(cdf), data = cdf)"
[6] "bicreg(as.matrix(hiv[, c(-17, -18)]), as.matrix(hiv[, 18]))"
The relevant lines of code in 'bicreg' would appear to be
[...]
cdf <-cbind.data.frame(y=y,x)
mm <- model.matrix(formula(cdf),data=cdf)[,-1,drop=F]
[...]
It appears to me that applying formula() to the matrix is a no-no. Is
this an incompatibility between Splus and R?
Has anyone already succeeded in porting this package to R?
Or am I just doing something silly?
thanks in advance,
Malcolm
--
Malcolm Gillies <M.B.Gillies at pharm.uu.nl>
PhD student, computational medicinal chemistry
Dept Medicinal Chemistry, Faculty of Pharmacy,
Utrecht University, The Netherlands
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