[R] Paired Weighted Wilcoxon test in R

[Dreams Collector]

Thank you very much for your suggestions, Jim!

> El 24 jun 2017, a las 9:57, Jim Lemon <drjimlemon at gmail.com> escribió:
> 
> Hi DC9,
> As no one has answered, I would say that as both the survey package
> and Professor Lumley are widely respected, that is as good as it gets.
> 
> Jim
> 
> On Fri, Jun 23, 2017 at 7:26 PM, Dreams Collector
> <dreamscollector9 at gmail.com> wrote:
>> Dear R-users,
>> 
>> I’m trying to perform a non-parametric statistical pairwise comparison of two samples "x" and "y" using the Wilcoxon test in R, but each of the pairs have a weight associated.
>> 
>> An example of my data is the following one:
>> 
>> set.seed(9)
>> x <- sample(x = c(1:100), size = 20, replace = TRUE)
>> y <- sample(x = c(1:100), size = 20, replace = TRUE)
>> weight <- runif(n = 20)
>> data <- data.frame(x = x, y = y, weight = weight)
>> 
>> I’m new with statistical tests. I’ve read this other post about a similar issue:
>> 
>> http://r.789695.n4.nabble.com/Weighted-Mann-Whitney-Wilcoxon-Test-td4695699.html <http://r.789695.n4.nabble.com/Weighted-Mann-Whitney-Wilcoxon-Test-td4695699.html>
>> 
>> But I’m not sure if I can use the packages/works cited there.
>> 
>> Any help/comment would be fantastic for me.
>> 
>> Thank you!
>>        [[alternative HTML version deleted]]
>> 
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