Thank you very much, Prof. Ripley, for the prompt solution, and to all
participants in the thread for their insights. Martin
Prof Brian Ripley <[EMAIL PROTECTED]> writes:
> Let me try to pull the ends together on this.
>
> - As DTL pointed out one way out is to use a static libxml2. I tried
>
On Tue, 8 Jan 2008, hadley wickham wrote:
> On Jan 8, 2008 1:31 AM, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
>> Hadley sent me the package, and my guess *was* correct. The package is
>> not using lazy-loading, and early on it has (in aaa-top-level.r)
>>
>> TopLevel <- proto(expr = {
>> ...
>>
On Jan 8, 2008 1:31 AM, Prof Brian Ripley <[EMAIL PROTECTED]> wrote:
> Hadley sent me the package, and my guess *was* correct. The package is
> not using lazy-loading, and early on it has (in aaa-top-level.r)
>
> TopLevel <- proto(expr = {
> ...
>
> That is 'a top-level computation'. To make this
Let me try to pull the ends together on this.
- As DTL pointed out one way out is to use a static libxml2. I tried
that, and managed to build and check it under MinGW but it did not work
correctly with package XML. That route used to be possible, but it is
too much work to keep fixing
> Would you like existing functions such as mean, range, sum,
> colSums, dim, apply, length, and many more to operate on the array of
> numbers? If so use an S3 class.
The above is misleading as 'setClass("NewArray", [additional structures
go in here], contains="array")' will give the NewArray a
Full_Name: Robin Hankin
Version: R-2.6.1
OS: macosx 10.5.1
Submission from: (NULL) (139.166.245.10)
fisher.test() with a matrix a <- diag(1:3) has a p-value of 1/60 ~= 0.01
Setting the simulate.p.value flag to TRUE gives a very incorrect answer:
> fisher.test(a,simulate.p.value=TRUE)$p.valu
