Ok, it looks like the function mainly works through the formula syntax. It
still would have been nice to have a reproducible example of what your data
may look like, but I can show an example with simulated x and y:
> x <- rpois(10, 3)
> y <- rpois(11, 3.1)
> mydf <- data.frame( vals = c(x,y),
+ group=rep( c('x','y'), c( length(x), length(y) ) ) )
> wilcox_test( vals ~ group, data=mydf )
Asymptotic Wilcoxon-Mann-Whitney Test
data: vals by group (x, y)
Z = -1.3718, p-value = 0.1701
alternative hypothesis: true mu is not equal to 0
Does that help? (maybe I am the heedlessness theorist after all)
On Thu, May 30, 2013 at 4:14 PM, Janh Anni <annij...@gmail.com> wrote:
> I thought (hoped) wilcox_test(x,y) would do it but it doesn't and the
> package maintainer says the data have to be rearranged but does not specify
> how. Thanks
>
> Janh
>
>
>
> On Thu, May 30, 2013 at 6:05 PM, Greg Snow <538...@gmail.com> wrote:
>
>> What have you tried so far? Have you read the help page? have you run
>> the examples on that page?
>>
>> I would expect that it is something as simple as
>>
>> library(coin)
>> wilcox_test(x,y)
>>
>> or
>>
>> wilcox_test( y ~ group )
>>
>> But you should trust the help page more than the expectations of someone
>> who has not read it recently (see fortune(14)).
>>
>> If that does not answer your question then give us more detail on what
>> you tried, what you expected the results to be, what the results actually
>> were, and how they differed. Without that information we have to resort to
>> mind reading and the current implementation of the esp package is still
>> very pre-alpha, it suggests that the answer to your question is:
>>
>> > esp()
>> [1] "selflessly vigilantly pigeon theorist heedlessness"
>>
>> Which is either much to profound for the likes of me to understand or is
>> complete gibberish (which is only slightly less helpful than an overly
>> general question without a reproducible example).
>>
>>
>> On Thu, May 30, 2013 at 2:07 PM, Janh Anni <annij...@gmail.com> wrote:
>>
>>> Dear All,
>>>
>>> I have two simple data samples (no groups or factors, etc.) and would
>>> just
>>> like to compute the two-sample Wilcoxon Rank Sum test using the
>>> wilcox_test
>>> function contained in the coin package, which is reportedly better than
>>> the
>>> regular wilcox.test function because it performs some adjustment for
>>> ties.
>>> Would anyone know how to craft a script to perform this task? Much
>>> appreciated.
>>>
>>> Janh
>>>
>>> [[alternative HTML version deleted]]
>>>
>>> ______________________________________________
>>> R-help@r-project.org mailing list
>>> https://stat.ethz.ch/mailman/listinfo/r-help
>>> PLEASE do read the posting guide
>>> http://www.R-project.org/posting-guide.html
>>> and provide commented, minimal, self-contained, reproducible code.
>>>
>>
>>
>>
>> --
>> Gregory (Greg) L. Snow Ph.D.
>> 538...@gmail.com
>>
>
>
--
Gregory (Greg) L. Snow Ph.D.
538...@gmail.com
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
