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Data:
109.03 110.43 111.01 111.01 110.76 111.13 111.07 111.09 110.96 110.64 110.62 110.59 111.33 113.94 114.61 114.64 114.62 114.71 114.72 114.66 114.76 114.68 114.75 114.74 116.36 117.53 118.82 119.83 119.97 121.29 120.94 121.02 120.98 121.02 120.89 120.76 123.28 123.98 125.91 125.84 125.98 127.24 127.23 127.82 127.59 127.74 127.44 127.35 128.54 129.3 130.67 130.76 131.34 130.69 130.96 130.68 130.61 130.59 130.44 129.04 131.46 132.77 134.48 134.52 136.11 136.12 136.03 135.84 137.75 137.45 136.84 136.79 140.12 140.68 140.35 140.42 140.19 140.14 140.13 139.45 139.59 139.44 139.53 139.28
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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')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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