Hi Neil,
I think your cast statement is wrong. You have
cast(norm.all.melted.height, Sample.Name + SNP + Pool ~ value, sum)
but I think you want
cast(norm.all.melted.height, Sample.Name + SNP + Pool ~ ., sum)
i.e. value never appears in the cast formula.
Hadley
On Feb 7, 2008 7:11 AM, Neil Shephard <[EMAIL PROTECTED]> wrote:
> Hi,
>
> I'm trying to cast() some data, but keep on getting the following error...
>
> > norm.all.melted.height <- transform(all.melted.height,
> + norm.height = value / ave(value,
> SNP, Pool, FUN = max)
> + )
> Warning messages:
> 1: In FUN(X[[147L]], ...) :
> no non-missing arguments to max; returning -Inf
> 2: In FUN(X[[147L]], ...) :
> no non-missing arguments to max; returning -Inf
> 3: In FUN(X[[147L]], ...) :
> no non-missing arguments to max; returning -Inf
> > norm.all.melted.height <- subset(norm.all.melted.height,
> > select=c("Sample.Name", "SNP", "Pool", "variable", "norm.height"))
> > names(norm.all.melted.height) <- c("Sample.Name", "SNP", "Pool",
> > "variable", "value")
> >
> > ## Now reshape the data
> > normalised <- cast(norm.all.melted.height, Sample.Name + SNP + Pool ~
> > value, sum)
> Error in rep.int(rep.int(seq_len(nx), rep.int(rep.fac, nx)), orep) :
> negative length vectors are not allowed
>
> Is the error thats occuring with cast() likely to be caused by the
> previous warnings?
>
> As far as I can work out rep.int() is called to expand the data based
> on the grouping specified (in this case the left hand portion of the
> cast formula, i.e. Sample.Name + SNP + Pool), but how would there be
> a negative index in this data? I had previously melted the data into
> this format.
>
> Apologies for not providing a reproducible example, I suspect the
> problem lies within the data structure I'm using.
>
> Thanks for reading this question,
>
> Neil
>
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