# [R] medians in Wilcoxon disagree with median function

David Winsemius dwinsemius at comcast.net
Sun Jan 30 17:47:21 CET 2011

```On Jan 30, 2011, at 9:28 AM, Graham Smith wrote:

> I am sure I am opening myself up to looking stupid,

Or exposing a failure to read the help page.

> but  I have two samples
> with medians of 613.5  and 189 (difference in location of 424
> compared to
> the difference suggested from the wilcoxon of 291.5)
>
>> wilcox.test(pipwtCount,pipwdCount, conf.int=TRUE, na.rm=TRUE)
>
>    Wilcoxon rank sum test
>
> data:  pipwtCount and pipwdCount
> W = 822, p-value = 0.01227
> alternative hypothesis: true location shift is not equal to 0
> 95 percent confidence interval:
>  58 639
> sample estimates:
> difference in location
>                 291.5
>
The Wilcoxon two sample test is not a test of equality of medians.
Read the Details help page. The estimated location is a pseudomedian.

> plot(density(pipwtCount))
> plot(density(pipwdCount, na.rm=TRUE))

Both are highly right-skewed.

--
David.

> The data is here
>
>> pipwtCount
> [1]  532  298  215 1588   38  180  284  376 5349 1024  650  605 1307
> 6147
> 21
> [16]  453   23 1983 1048  464 2183 1028 1361  163  175 5944  569
> 622  793
> 70
> [31]   67 1188  248 3010   19 2179 1339  408  113  739 2615 4619
>
>> pipwdCount
> [1]   89  384   12  703    2  138  189  383  314  482   96  907   90
> 1193
> 154
> [16]  305   61  414 4764 1066  121  143  102  174   44 2896   NA
> 1103  161
> 199
>
>> median(pipwtCount)
> [1] 613.5
>> median(pipwdCount,na.rm=T)
> [1] 189
>> 613.5-189
> [1] 424.5
>
>
> I would appreciate if someone could point out the obvious to me, and
> explain
> why there is such a large discrepancy in the differences in location.
>
>
>
> Many thanks,
>
> Graham
>
> 	[[alternative HTML version deleted]]
>
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