Displaying 4 results from an estimated 4 matches for "paljenczi".
Did you mean:
paljenczy
2017 Aug 25
2
Are r2dtable and C_r2dtable behaving correctly?
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 166664
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.
Cheers, Jari
2017 Aug 25
0
Are r2dtable and C_r2dtable behaving correctly?
>>>>> Gustavo Fernandez Bayon <gbayon at gmail.com>
>>>>> 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 deeper and debug
>
2017 Aug 24
3
Are r2dtable and C_r2dtable behaving correctly?
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 deeper and debug
chisq.test(). I noticed then that the simulated statistics returned by the
following call
tmp <- .Call(C_chisq_sim, sr, sc, B, E)
were all the same, very small numbers. This, at first,
2017 Aug 25
0
Are r2dtable and C_r2dtable behaving correctly?
> On 25 Aug 2017, at 11:23 , Jari Oksanen <jari.oksanen at oulu.fi> 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 166664
>
> There are