Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
jan/00 41086 feb/00 39690 mrt/00 43129 apr/00 37863 mei/00 35953 jun/00 29133 jul/00 24693 aug/00 22205 sep/00 21725 okt/00 27192 nov/00 21790 dec/00 13253 jan/01 37702 feb/01 30364 mrt/01 32609 apr/01 30212 mei/01 29965 jun/01 28352 jul/01 25814 aug/01 22414 sep/01 20506 okt/01 28806 nov/01 22228 dec/01 13971 jan/02 36845 feb/02 35338 mrt/02 35022 apr/02 34777 mei/02 26887 jun/02 23970 jul/02 22780 aug/02 17351 sep/02 21382 okt/02 24561 nov/02 17409 dec/02 11514 jan/03 31514 feb/03 27071 mrt/03 29462 apr/03 26105 mei/03 22397 jun/03 23843 jul/03 21705 aug/03 18089 sep/03 20764 okt/03 25316 nov/03 17704 dec/03 15548 jan/04 28029 feb/04 29383 mrt/04 36438 apr/04 32034 mei/04 22679 jun/04 24319 jul/04 18004 aug/04 17537 sep/04 20366 okt/04 22782 nov/04 19169 dec/04 13807 jan/05 29743 feb/05 25591 mrt/05 29096 apr/05 26482 mei/05 22405 jun/05 27044 jul/05 17970 aug/05 18730 sep/05 19684 okt/05 19785 nov/05 18479 dec/05 10698
Sample Range:
(leave blank to include all observations)
From:
To:
lowest quantile
highest quantile
step size
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par1 <- as(par1,'numeric') par2 <- as(par2,'numeric') par3 <- as(par3,'numeric') library(Hmisc) myseq <- seq(par1, par2, par3) hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) bitmap(file='test1.png') plot(myseq,hd,col=2,main=main,xlab=xlab,ylab=ylab) grid() dev.off() load(file='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) 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='mytable.tab')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation