This is the same as PR#8265, which was reported two months ago by someone
else from syd.odn.ne.jp. It still isn't a bug. According to Brian
Ripley's response at that time, "almost all" the sources he checked gave
the correction that R uses.
-thomas
On Tue, 20 Dec 2005, [EMAIL PROTECTED] wrote:
> Full_Name: nobody
> Version: 2.2.0
> OS: any
> Submission from: (NULL) (219.66.34.183)
>
>
> 2 x 2 table, such as
>
>> x
> [,1] [,2]
> [1,] 10 12
> [2,] 11 13
>
>> chisq.test(x)
>
> Pearson's Chi-squared test with Yates'
> continuity correction
>
> data: x
> X-squared = 0.0732, df = 1, p-value = 0.7868
>
> but, X-squared = 0.0732 is over corrected.
>
> when abs(a*d-b*c) <= sum(a,b,c,d), chisq.value must be 0!, and P-value must be
> 1!
>
> code of chisq.test must be as follows
>
> # if (correct && nrow(x) == 2 && ncol(x) == 2) {
> # YATES <- 0.5
> # METHOD <- paste(METHOD, "with Yates' continuity correction")
> # }
> # else YATES <- 0
> # STATISTIC <- sum((abs(x - E) - YATES)^2/E)
> ## replace begin
> if (correct && nrow(x) == 2 && ncol(x) == 2) {
> STATISTIC <- if (abs(x[1,1]*x[2,2]-x[1,2]*x[2,1]) < sum(x)/2) > 0
>
> else sum((abs(x - E) - 0.5)^2/E)
> METHOD <- paste(METHOD, "with Yates' continuity correction")
> }
> else STATISTIC <- sum((abs(x - E))^2/E)
> ## replace end
>
> ______________________________________________
> R-devel@r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>
Thomas Lumley Assoc. Professor, Biostatistics
[EMAIL PROTECTED] University of Washington, Seattle
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