Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
5596.22 8148.91 7449.67 6768.80 6962.11 7982.99 9576.28 8449.08 7774.25 9074.05 10227.48 10191.50 10413.21 8309.06 8980.02 10597.72 10028.35 9324.74 6583.41 7450.08 7818.56 6922.01 6179.63 6471.26 5048.99 5081.70 6393.43 7288.01 7474.38 7711.85 8356.11 8360.59 5915.39 5886.06 5757.45 4812.07 6697.20 9195.60 12103.04 11879.47 12874.59 13374.82 16934.95 15774.40 18257.77 17589.08 18007.95 15967.01 12000.10 9508.20 5849.29 5011.23 4201.50 3223.24 1155.95 1231.21 -750.95 -2277.91 -3852.93 -1905.75
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
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation