Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
101.68 101.25 101.24 101.11 101.08 101.09 101.09 101.62 101.66 101.96 102.04 102.02 102.02 101.51 101.62 101.83 102.06 102.14 102.14 102.59 102.92 103.31 103.54 103.58 103.58 102.83 102.86 103.03 103.2 103.28 103.28 103.79 103.92 104.26 104.41 104.45 99.92 99.18 99.18 99.35 99.62 99.67 99.72 100.08 100.39 100.77 101.03 101.07 101.29 101.1 101.2 101.15 101.24 101.16 100.81 101.02 101.15 101.06 101.17 101.22 101.84 101.79 101.88 101.9 101.91 101.96 101.26 101.06 100.98 101.12 101.24 101.25
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