Just realised the above notation may be a bit misleading. Because I was thinking in terms of simulated data.
On Mon, Jun 22, 2020 at 10:00 AM Abby Spurdle <spurdl...@gmail.com> wrote: > > Hi Frederick, > > I glanced at the webpage you've linked. > (But only the top three snippets). > > This is what I would call the sum of random variables. > (X, Y) = (X1, X1) + (X2, Y2) + ... + (Xn, Yn) > > The example makes the mistake of assuming that the Xs are normally > distributed, and each of the Ys are from exactly the same uniform > distribution. > By "combine"-ing both approaches, are you wanting to weight each pair? > > w1(X1, X1) + w2(X2, Y2) + ... + wn(Xn, Yn) > > I note that you haven't told us much about your data. > There may be an easier way of doing things... > > > On Mon, Jun 22, 2020 at 1:53 AM Frederik Feys <fref...@gmail.com> wrote: > > > > Hello everyone > > > > At the moment I put a lot of attention in the uncertainty of my analyzes. I > > want to do a spearman correlation that takes into account the uncertainty > > in my observations and has weighting. > > > > uncertainty of observations: I came across this excellent blog that > > proposes a bootstrap function: > > https://www.r-bloggers.com/finding-correlations-in-data-with-uncertainty/ > > > > weighted: I do weighted correlations with the wCorr package. > > > > Now I want to combine both approaches in one approach for a final analysis. > > How would you do that? > > > > Thanks for the help! > > > > Frederik Feys > > PhD Medical Sciences > > Onafhankelijk Methodoloog > > https://www.researchgate.net/profile/Frederik_Feys > > +32488020010 > > > > > > > > > > > > > > > > [[alternative HTML version deleted]] > > > > ______________________________________________ > > R-help@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. ______________________________________________ R-help@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.
