Displaying 4 results from an estimated 4 matches for "c_chisq_sim".
2017 Aug 24
3
Are r2dtable and C_r2dtable behaving correctly?
...oing 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, seemed strange to
me. So I decided to do some simulations myself, and started playing around
with the r2dtable() function. Problem is, using my row and column
marginals, r2dtable() always returns the same matrix. Let's provi...
2017 Aug 25
2
Are r2dtable and C_r2dtable behaving correctly?
...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, seemed strange to
> me. So I decided to do some simulations myself, and started playing around
> with the r2dtable() function. Problem is, using my row and column
> marginals, r2dtable() always retu...
2017 Aug 25
0
Are r2dtable and C_r2dtable behaving correctly?
...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, seemed strange to
> me. So I decided to do some simulations myself, and started playing around
> with the r2dtable() function. Problem is, using my row and column
> marginals, r2dtable() always retu...
2017 Aug 25
0
Are r2dtable and C_r2dtable behaving correctly?
...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, seemed strange to
>> me. So I decided to do some simulations myself, and started playing around
>> with the r2dtable() function. Problem is, using my row and column
>> marginals, r2dtable() always...