Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-2188.94586 -2190.09434 -2186.99375 -2188.585139 -2188.606154 -2189.801223 -2188.827273 -2188.990937 -2190.774096 -2189.092814 -2189.398204 -2190.131737 -2189 -2190.292754 -2188.063584 -2189.394886 -2189.076056 -2189.547486 -2188.858726 -2189.790634 -2190.870879 -2190.20274 -2190.385246 -2190.491892 -2190.09973 -2191.339623 -2188.08871 -2189.490617 -2190.557641 -2188.914439 -2190.314667 -2189.053333 -2191.119681 -2190.428191 -2190.119363 -2190.496021 -2191.095238 -2190.738786 -2188.771053 -2189.703125 -2190.210797 -2189.853846 -2190.30179 -2189.841837 -2191.419847 -2191.104061 -2190.581218 -2190.893671 -2191.287879 -2191.574307 -2188.884422 -2191.24812 -2190.2125 -2190.1675 -2191.221945 -2190.19202 -2192.288177 -2191.127764 -2191.12766 -2192.409836
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