[R] interprete wilcox.test results
Baoqiang Cao
caobg at email.uc.edu
Wed Nov 8 18:17:16 CET 2006
Thanks Torsten! I got it!
Best,
Baoqiang
---- Original message ----
>Date: Wed, 8 Nov 2006 17:26:18 +0100 (CET)
>From: Torsten Hothorn <Torsten.Hothorn at rzmail.uni-erlangen.de>
>Subject: Re: [R] interprete wilcox.test results
>To: Baoqiang Cao <caobg at email.uc.edu>
>Cc: r-help at stat.math.ethz.ch
>
>
>On Wed, 8 Nov 2006, Baoqiang Cao wrote:
>
>> Dear All,
>>
>> I am using wilcox.test to test two samples, data_a and data_b, earch sample has 3 replicates, suppose data_a and data_b are 20*3 matrix. Then I used the following to test the null hypothesis (they are from same distribution.):
>>
>> wilcox.test(x=data_a, y=data_b, alternative="g")
>> I got pvalue = 1.90806170863311e-09.
>>
>> When I switched data_a and data_b by doing the following:
>> wilcox.test(x=data_b, y=data_a, alternative="g")
>> I got pvalue = 0.999999998111886.
>>
>> I suppose because I am test them with same null hypothesis,
>
>no, you don't:
>
>H_0: mean(data_a) <= mean(data_b) (alternative = "greater")
>
>is different from
>
>H_0: mean(data_b) <= mean(data_a)
>
>check
>
>wilcox.test(x=data_a, y=data_b, alternative="l")
>
>Torsten
>
>> I should get same result (pvalue). Since I am not a savy statistician at
>> all, maybe that is a wrong assumption, could anyone please point out the
>> right interpretion please?
>>
>> Thanks!
>>
>> Best,
>> Baoqiang
>>
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>>
>>
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