Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
5.11 5.11 5.11 5.1 5.1 5.1 5.1 5.1 5.12 5.25 5.26 5.26 5.26 5.26 5.26 5.26 5.29 5.3 5.33 5.33 5.35 5.38 5.38 5.38 5.38 5.38 5.39 5.39 5.4 5.4 5.4 5.4 5.4 5.41 5.41 5.41 5.41 5.41 5.42 5.42 5.42 5.42 5.43 5.43 5.45 5.51 5.51 5.51 5.51 5.51 5.51 5.53 5.53 5.53 5.53 5.52 5.53 5.54 5.54 5.57 5.56 5.57 5.58 5.61 5.66 5.68 5.69 5.7 5.72 5.71 5.69 5.7 5.7
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