Re: [R] weighted quantiles
Dear Frank, Thank you for your usefull package Hmisc! I use it in my microsimulation project every day. But now a problem arose ... Having updated to R 2.8.0 (under windows XP) your library Hmisc isn't installed any more. Trying to reinstal I recognized, that it isn't even in the package list. When trying to reinstal it via local zip-sources I get the error-message (wrong R version ... ). Will the Hmisc-package be updated or are their functions now embedded within another package?? Thanks, Norbert Am 07.10.2008, 21:13 Uhr, schrieb Frank E Harrell Jr [EMAIL PROTECTED]: sj wrote: I have a set of values and their corresponding weights. I can use the function weighted.mean to calculate the weighted mean, I would like to be able to similarly calculate the weighted median and quantiles? Is there a function in R that can do this? thanks, Spencer library(Hmisc) ?wtd.quantile __ R-help@r-project.org mailing list 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. -- ** Mag. Norbert Neuwirth Österreichisches Institut für Familienforschung (ÖIF) - Universität Wien Austrian Institute for Family Studies - University of Vienna http://www.oif.ac.at e-mail:[EMAIL PROTECTED] tel: +43-1-4277-489-11 fax: +43-1-4277-9-489 address: A-1010 Wien, Grillparzerstraße 7/9 __ R-help@r-project.org mailing list 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] weighted quantiles
I have a set of values and their corresponding weights. I can use the function weighted.mean to calculate the weighted mean, I would like to be able to similarly calculate the weighted median and quantiles? Is there a function in R that can do this? thanks, Spencer [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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.
Re: [R] weighted quantiles
sj wrote: I have a set of values and their corresponding weights. I can use the function weighted.mean to calculate the weighted mean, I would like to be able to similarly calculate the weighted median and quantiles? Is there a function in R that can do this? thanks, Spencer library(Hmisc) ?wtd.quantile __ R-help@r-project.org mailing list 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.
Re: [R] weighted quantiles
Try the linear quantile regression function rq() in the quantreg package. For 1 sample estimates, your model would have just an intercept term. There is a weight argument. quantiles.out - rq(y ~ 1, data=mydata, tau=1:9/10, weight=myweights) would yield the 0.10, 0.20, ..., 0.80, 0.90 weighted quantile estimates. Brian Brian S. Cade, PhD U. S. Geological Survey Fort Collins Science Center 2150 Centre Ave., Bldg. C Fort Collins, CO 80526-8818 email: [EMAIL PROTECTED] tel: 970 226-9326 sj [EMAIL PROTECTED] Sent by: [EMAIL PROTECTED] 10/07/2008 12:38 PM To r-help [EMAIL PROTECTED] cc Subject [R] weighted quantiles I have a set of values and their corresponding weights. I can use the function weighted.mean to calculate the weighted mean, I would like to be able to similarly calculate the weighted median and quantiles? Is there a function in R that can do this? thanks, Spencer [[alternative HTML version deleted]] __ R-help@r-project.org mailing list 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 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.
