Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
90.4 89.5 88.9 88.4 87.6 87.1 86.5 85.7 85.3 84.9 84.5 84.4 84.3 84.2 84.1 83.8 83.5 83.2 82.8 82.2 81.5 80.8 80.3 79.8 79.2 78.8 78.1 77.8 77.3 76.7 76.2 76.1 76.3 76.2 76.2 76.6 75.5 75.4 75.5 75.5 75.2 74.9 74.6 74.4 74 73.3 72.7 72 71.2 70.9 70.4 70 69.7 69.2 68.7 68.6 68.4 67.9 67.4 66.5 65.6 64.6 63.8 63 62.1 61.7 61.4 61.1 61.1 61 60.5 60.2 59.9 59.4 59.6 59.5 59.3 59.3 59.1 58.8
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