Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
95.77 97.63 100.87 100.39 98.62 97.42 95.62 97.22 97.56 97.06 97.68 98.18 98.54 98.24 98.1 96.32 96.15 96.67 94.7 93.94 96.69 96.54 95.94 95.6 99.15 100.33 99.86 96.09 94.42 93.85 93.73 94.63 95.54 95.48 95.84 96.29 97.63 98.8 99.84 100.73 100.44 100.54 100.25 100.29 100.7 100.62 100.43 99.73 99.17 98.9 98.94 98.91 99.5 99.52 99.1 99.12 99 98.66 98.3 98.18 97.95 97.84 98.61 99.54 99.64 99.69 99.77 99.85 99.87 100.23 100.46 100.36
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