Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
93.89 93.36 92.25 91.07 90.93 90.68 90.65 90.6 90.02 89.74 89.31 89.16 89.15 88.98 88.25 87.36 87.13 86.93 86.93 86.93 86.98 86.16 85.88 85.91 85.91 85.6 84.9 83.67 83.41 83.33 83.32 83.3 82.73 82.2 81.7 81.52 81.52 81.55 81.89 81.8 81.84 81.77 81.77 82.98 83.13 82.84 82.8 82.8 82.8 82.98 81.91 81.64 81.4 81.21 81.21 81.23 81.01 80.55 80.5 80.54 80.54 80.72 80.63 80.36 79.88 79.66 79.66 79.13 78.81 78.67 78.43 78.13 78.13 78.07 76.94 74.97 75 75.1 75.1 75.02 73.87 73.18 72.55 72.42 72.4 72.45 71.42 70.89 70.42 69.57 69.57 69.44 68.25 66.86 66.5 66.46
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