R version 2.6.1 (2007-11-26) Copyright (C) 2007 The R Foundation for Statistical Computing ISBN 3-900051-07-0 R is free software and comes with ABSOLUTELY NO WARRANTY. You are welcome to redistribute it under certain conditions. Type 'license()' or 'licence()' for distribution details. R is a collaborative project with many contributors. Type 'contributors()' for more information and 'citation()' on how to cite R or R packages in publications. Type 'demo()' for some demos, 'help()' for on-line help, or 'help.start()' for an HTML browser interface to help. Type 'q()' to quit R. > x <- c(107.5,107.5,113.3,107.8,104.5,105.1,104.2,106.6,103.8,107.7,106.4,110,113.2,113.9,112,113.9,113.1,111.7,110.7,113.5,114,112.7,112.2,115.8,118.4,118.8,123.9,118,120.2,118.7,119.8,124.8,121.3,120.2,118.3,129.6,130.2,127.19,133.1,129.12,123.28,123.36,124.13,126.96,127.14,123.7,123.67,130.19,134.01,124.96,129.96,128.32,132.38,126.25,128.91,131.42,129.44,126.86,126.71,131.63,132.78,126.61,132.84,123.14,128.13,125.49,126.48,130.86,127.32,126.56,126.64,129.26,126.47,135.38,135.5,132.22,122.62,125.16,128.5,133.86,128.87,125.07,125.25,132.16,130.24) > par3 = '0.01' > par2 = '0.99' > par1 = '0.01' > ylab = 'value' > xlab = 'quantile' > main = 'Harrell-Davis Quantiles' > #'GNU S' R Code compiled by R2WASP v. 1.0.44 () > #Author: Prof. Dr. P. Wessa > #To cite this work: Wessa, (2007), Harrell-Davis Quantile Estimator (v1.0.11) in Free Statistics Software (v$_version), Office for Research Development and Education, URL http://www.wessa.net/rwasp_harrell_davis.wasp/ > #Source of accompanying publication: Office for Research, Development, and Education > #Technical description: #Hmisc library > #v 1.0.2, 1 sept. 2006: fixed buffer overflow in R interpreter (thanks to John J. Ely, Ph.D.) > par1 <- as(par1,'numeric') > par2 <- as(par2,'numeric') > par3 <- as(par3,'numeric') > library(Hmisc) Attaching package: 'Hmisc' The following object(s) are masked from package:base : format.pval, round.POSIXt, trunc.POSIXt, units > myseq <- seq(par1, par2, par3) > hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) > postscript(file="/var/www/html/rcomp/tmp/1losr1204034809.ps",horizontal=F,pagecentre=F,paper="special",width=8.3333333333333,height=5.5555555555556) > plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab) > grid() > dev.off() null device 1 > load(file='/var/www/html/rcomp/createtable') > a<-table.start() > a<-table.row.start(a) > a<-table.element(a,'Harrell-Davis Quantiles',3,TRUE) > a<-table.row.end(a) > a<-table.row.start(a) > a<-table.element(a,'quantiles',header=TRUE) > a<-table.element(a,'value',header=TRUE) > a<-table.element(a,'standard error',header=TRUE) > a<-table.row.end(a) > length(hd) [1] 99 > for (i in 1:length(hd)) + { + a<-table.row.start(a) + a<-table.element(a,as(labels(hd)[i],'numeric'),header=TRUE) + a<-table.element(a,as.matrix(hd[i])[1,1]) + a<-table.element(a,as.matrix(attr(hd,'se')[i])[1,1]) + a<-table.row.end(a) + } > a<-table.end(a) > table.save(a,file="/var/www/html/rcomp/tmp/2si8n1204034810.tab") > > system("convert tmp/1losr1204034809.ps tmp/1losr1204034809.png") > > > proc.time() user system elapsed 1.387 0.231 1.583