Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
6 1.5 5.7 16.7 11.1 6.7 12 11.2 11.3 15.7 8.8 4.7 3.4 -2.8 3 -6.7 -10.4 -8.7 -14.7 -21.8 -26 -28.4 -26.7 -26.2 -32.7 -32.8 -37.1 -36.3 -32.2 -36 -30.6 -23.6 -16.3 -32.4 -25.8 -23.1 -17.4 -10.5 -7.8 1.7 4.6 -6.4 -0.1 -3.3 1.9 2.5 1.2 1.6 0.8 4.9 -2.2 2.3 -3.6 -3.8 -3.9 -3.3 -15.8 -18.4 -19.5 -21.6 -23 -22.2 -19.4 -17.2 -18.5 -11.1 -13.6 -17.4 -14.5 -15.2 -8.1 -3.9 -5.2 -9.7 -15.7 -20.2 -15 -16.9 -21.6 -10.8 -12.1 -3 -7.8 -6.5
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
par3 <- '0.1' par2 <- '0.99' par1 <- '0.01' 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