Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
2.14 2.45 2.52 2.3 2.25 2.06 1.99 2.25 2.26 2.36 2.3 2.19 2.31 2.21 2.21 2.26 2.18 2.21 2.33 2.12 2.08 1.97 2.09 2.11 2.24 2.45 2.68 2.73 2.76 2.83 3.16 3.22 3.22 3.34 3.35 3.42 3.58 3.71 3.68 3.83 3.94 3.88 4.03 4.15 4.32 4.4 4.37 4.14 4.11 4.16 3.98 4.13 3.76 3.66 3.85 4.03 4.31 4.58 4.46 4.41 3.84 2.84 2.66 2.17 1.43 1.47 1.29 1.23 1.09 0.94 0.76 0.67
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