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.
