R help - May 2006 - mc nemar test

Hello R users,

I would like to perform a mc nemar test.
There is my data :
__________________________________
x <- matrix(4:1,2,2)

x

     [,1] [,2]
[1,]    4    2
[2,]    3    1
__________________________________

My population is too small for normal approximation.
__________________________________
library(concord)

mcnemar.mh(x)

$statistic
[1] 0.2

$p
[1] 0.6547208

Warning message:
low cell counts - consider binomial test in: mcnemar.mh(x)

___________________________________

Do you have an advice to perform this test ? Is there a non-parametric one ?
Thank you very much.

-- 
David

	[[alternative HTML version deleted]]

"David Hajage" <dhajage at gmail.com> writes:
> Hello R users,
> 
> I would like to perform a mc nemar test.
> There is my data :
> __________________________________
> x <- matrix(4:1,2,2)
> 
> x
> 
>      [,1] [,2]
> [1,]    4    2
> [2,]    3    1
> __________________________________
> 
> My population is too small for normal approximation.
> __________________________________
> library(concord)
> 
> mcnemar.mh(x)
> 
> $statistic
> [1] 0.2
> 
> $p
> [1] 0.6547208
> 
> Warning message:
> low cell counts - consider binomial test in: mcnemar.mh(x)
> 
> ___________________________________
> 
> Do you have an advice to perform this test ? Is there a non-parametric one
?
> Thank you very much.
The advice would seem to be rather precise: 
> binom.test(2,5)
        Exact binomial test

data:  2 and 5
number of successes = 2, number of trials = 5, p-value = 1
alternative hypothesis: true probability of success is not equal to 0.5
95 percent confidence interval:
 0.05274495 0.85336720
sample estimates:
probability of success
                   0.4


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