You could also consider using the quantreg package. The linear quantile
regression estimator rq() in this package has a weights option and using
this
linear model approach allows you to include covariates if necessary and
perform hypothesis tests and estimate confidence intervals. Nonlinear and
nonparametric smoothing models also are available.
Brian
Brian S. Cade
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
Frank E Harrell Jr <[EMAIL PROTECTED]>
Sent by: [EMAIL PROTECTED]
03/10/2006 04:07 PM
To
[EMAIL PROTECTED]
cc
r-help <r-help@stat.math.ethz.ch>
Subject
Re: [R] how to calculate the quantile of the weighted data
Jing Yang wrote:
> Dear R-users,
>
> Does anyone have an idea of how to calculate the quantile of the
weighted data?
> Any suggestion will be appreciated!
>
> Best,Jing
library(Hmisc)
?wtd.quantile
--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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