On Oct 25, 2011, at 18:23 , Xiang Gao wrote:
> I have a question about the D'Agostino skewness test and the Anscombe-Glynn
> kurtosis test.
>
>
> agostino.test(x, alternative = c("two.sided", "less", "greater"))
>
> anscombe.test(x, alternative = c("two.sided", "less", "greater"))
>
> The option "alternative" in those two functions seems to be the null
> hypothesis. In the output, the statement about the alternative hypothesis is
> correct, which is opposite to what you specify in command. An example
> below:
Certainly looks like a bug. You should contact the maintainers of the
contributed package containing these tests.
-pd
>
>
>
>> skewdata =
> c(rep(44,5),rep(43,15),rep(42,10),rep(41,4),rep(40,3),rep(39,2),rep(38,1))
>
>> agostino.test(skewdata, alternative = "greater")
>
> D'Agostino skewness test
>
> data: skewdata
>
> skew = -1.0014, z = -1.7209, p-value = 0.04264
>
> alternative hypothesis: data have negative skewness
>
>
>> anscombe.test(skewdata, alternative=„less")
>
> Anscombe-Glynn kurtosis test
>
> data: skewdata
>
> kurt = 3.4748, z = 1.0716, p-value = 0.1419
>
> alternative hypothesis: kurtosis is greater than 3
>
>
> --
>
> [[alternative HTML version deleted]]
>
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--
Peter Dalgaard, Professor,
Center for Statistics, Copenhagen Business School
Solbjerg Plads 3, 2000 Frederiksberg, Denmark
Phone: (+45)38153501
Email: pd....@cbs.dk Priv: pda...@gmail.com
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