> Gustavo Fernandez Bayon
> on Thu, 24 Aug 2017 16:42:36 +0200 writes:
> Hello,
> While doing some enrichment tests using chisq.test() with simulated
> p-values, I noticed some strange behaviour. The computed p-value was
> extremely small, so I decided to dig a little
It is not about "really arge total number of observations", but:
set.seed(4711);tabs <- r2dtable(1e6, c(2, 2), c(2, 2)); A11 <- vapply(tabs,
function(x) x[1, 1], numeric(1));table(A11)
A11
0 1 2
166483 666853 14
There are three possible matrices, and these come out in propo
> On 25 Aug 2017, at 10:30 , Martin Maechler wrote:
>
[...]
> https://stackoverflow.com/questions/37309276/r-r2dtable-contingency-tables-are-too-concentrated
>
>
>> set.seed(1); system.time(tabs <- r2dtable(1e6, c(100, 100), c(100, 100)));
>> A11 <- vapply(tabs, function(x) x[1, 1], numeric(1
> On 25 Aug 2017, at 11:23 , Jari Oksanen wrote:
>
> It is not about "really arge total number of observations", but:
>
> set.seed(4711);tabs <- r2dtable(1e6, c(2, 2), c(2, 2)); A11 <- vapply(tabs,
> function(x) x[1, 1], numeric(1));table(A11)
>
> A11
> 0 1 2
> 166483 666853 16
> Peter Dalgaard
> on Fri, 25 Aug 2017 11:43:40 +0200 writes:
>> On 25 Aug 2017, at 10:30 , Martin Maechler
wrote:
>>
> [...]
>>
https://stackoverflow.com/questions/37309276/r-r2dtable-contingency-tables-are-too-concentrated
>>
>>
>>> set.seed(1); sys
> On 25 Aug 2017, at 12:04 , Peter Dalgaard wrote:
>
>> There are three possible matrices, and these come out in proportions 1:4:1,
>> the one with all cells filled with ones being
>> most common.
>
> ... and
>
>> dhyper(0:2,2,2,2)
> [1] 0.167 0.667 0.167
>> dhyper(0:2,2,2,2) *6
>
I need a version of R that has no dependency on GDI32.dll. Ideally, this
would be a version of R that had no dependency on rgraphapp.dll.
Is there a way to configure the build system to build a version of R like
this? I've looked through the ./configure --help for seemingly appropriate
flags, and
