Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
6 6.7 -0.6 5.8 16.4 1.5 5.1 14.7 4.3 1.5 9.1 4.3 5.7 13 14.5 9.7 -4.7 7.3 5.2 -2.5 11.5 4.9 -2.4 -0.3 4.4 7.9 -9.7 -4.1 16.4 -4.9 3.5 3.8 -0.2 3.1 0.7 -2.8 5.9 -5.3 -2.9 6.6 -8.1 1.3 6.9 -7.2 -1.9 4 -5.7 3.9 -7.6 -0.9 7.3 -3.7 -2.5 9.3 1.3 9.5 11.3 -1.7 8 -4.8 1.6 1.9 -0.9 5.5 1.7 -5.4 1.9 0.2 -13.3 -8.2 0.2 5.7 -1.2 -2.8 5.5 -17.3 1.4 -2.2 -8.6 -5 4.1 0.7 -4.2 -2.3
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