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]]
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]] > > ______________________________________________ > R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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.
Thank you very much for your suggestions, Jim!> El 24 jun 2017, a las 9:57, Jim Lemon <drjimlemon at gmail.com> escribi?: > > 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]] >> >> ______________________________________________ >> R-help at r-project.org mailing list -- To UNSUBSCRIBE and more, see >> 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.