Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
70.99 70.99 72.03 72.31 72.33 72.33 73.14 73.28 73.28 73.28 73.28 73.28 73.28 73.28 74.33 75.71 76.65 76.65 76.66 76.66 76.66 76.66 76.66 76.17 76.05 76.06 76.08 79.02 80.21 79.8 80.22 81.28 82.1 82.13 82.12 82.13 82.13 82.13 82.13 82.68 83.81 84.52 84.53 84.57 84.59 85.28 86.5 86.79 86.83 88.45 93.64 95.75 95.9 96.01 95.99 95.96 96 96.02 96.04 96.04 96.04 96.04 96.13 96.17 96.19 96.16 96.45 96.47 96.47 96.76 97.24 97.26 98.3 98.87 100.49 100.53 99.66 99.31 100.36 100.77 100.39 100.42 100.44 100.44
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