Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
81.28 69.39 67.63 51.25 103.97 133.83 162.37 172.91 163.01 151.50 111.73 88.58 74.29 63.98 61.18 76.48 107.98 124.97 145.57 140.20 143.84 138.80 104.06 74.70 60.18 55.16 35.62 56.18 85.44 114.08 133.64 67.14 95.58 89.37 75.24 69.18 54.49 57.50 62.16 76.67 110.04 127.38 156.47 167.56 153.54 124.08 100.97 79.17 68.13 61.77 54.31 60.30 84.18 104.05 114.66 105.55 96.61 70.94 63.91 58.61 44.53 49.58 57.39 76.76 104.57 125.41 143.11 136.35 135.15 131.70 96.87 70.63 66.29 63.49 62.97 66.43 101.49 127.69 133.21 158.72 148.61 134.31 100.99 75.16 59.74 52.87 52.07 57.38 79.43 101.40 120.19 134.38 135.97 113.83 84.38 70.28 65.96 56.36 49.57 68.33 90.32 117.06 134.69 131.67 129.25 118.77 88.44 76.79 75.28 73.89 76.24 88.58 105.83 115.84 127.76 131.75 119.63 93.38 75.55 51.79
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