Weighted mean behaves differently: • weight is excluded for missing x • no warning for sum(weights) != 1
> weighted.mean(c(1, 2, 3, 4), weights=c(1, 1, 1, 1)) [1] 2.5 > weighted.mean(c(1, 2, 3, NA), weights=c(1, 1, 1, 1)) [1] NA > weighted.mean(c(1, 2, 3, NA), weights=c(1, 1, 1, 1), na.rm=TRUE) [1] 2 Von: Richard O'Keefe Gesendet: Montag, 12. Juli 2021 13:18 An: Matthias Gondan Betreff: Re: [R] density with weights missing values Does your copy of R say that the weights must add up to 1? ?density doesn't say that in mine. But it does check. On Mon, 12 Jul 2021 at 22:42, Matthias Gondan <matthias-gon...@gmx.de> wrote: > > Dear R users, > > This works as expected: > > • plot(density(c(1,2, 3, 4, 5, NA), na.rm=TRUE)) > > This raises an error > > • plot(density(c(1,2, 3, 4, 5, NA), na.rm=TRUE, weights=c(1, 1, 1, 1, 1, 1))) > • plot(density(c(1,2, 3, 4, 5, NA), na.rm=TRUE, weights=c(1, 1, 1, 1, 1, NA))) > > This seems to work (it triggers a warning that the weights don’t add up to 1, > which makes sense*): > > • plot(density(c(1,2, 3, 4, 5, NA), na.rm=TRUE, weights=c(1, 1, 1, 1, 1))) > > Questions > > • But shouldn’t the na.rm filter also filter the corresponding weights? > • Extra question: In case the na.rm filter is changed to filter the weights, > the check for sum(weights) == 1 might trigger false positive warnings since > the weights might not add up to 1 anymore > > Best wishes, > > Matthias > > > [[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. [[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.
