Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
65 65.3 62.9 63.5 62.1 59.3 61.6 61.5 60.1 59.5 62.7 65.5 63.8 63.8 62.7 62.3 62.4 64.8 66.4 65.1 67.4 68.8 68.6 71.5 75 84.3 84 79.1 78.8 82.7 85.3 84.5 80.8 70.1 68.2 68.1 72.3 73.1 71.5 74.1 80.3 80.6 81.4 87.4 89.3 93.2 92.8 96.8 100.3 95.6 89 87.4 86.7 92.8 98.6 100.8 105.5 107.8 113.7 120.3 126.5 134.8 134.5 133.1 128.8 127.1 129.1 128.4 126.5 117.1 114.2 109.1
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