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Data:
106.19 106.2 106.09 106.23 106.23 106.22 106.22 106.61 106.95 107.74 107.8 107.8 107.2 107.56 107.72 108.14 108.16 108.16 108.16 108.1 108.95 110.49 110.72 110.82 110.82 110.75 110.71 110.86 110.84 110.84 110.84 110.92 111.46 112.46 113.04 113.15 113.15 113.21 113.37 113.47 113.71 113.71 113.71 113.8 115.46 117 117.94 118.08 118.08 118.47 118.49 118.45 118.54 118.55 118.55 118.55 119.04 121.37 122 122.14 122.14 122.03 121.91 122.23 121.73 121.83 121.83 122.49 123.02 125.98 126.13 126.39
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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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