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Data:
104.31 104.76 105.68 106.22 106.69 107.17 107.46 107.16 107.35 107.65 107.75 108.22 108.68 109.35 109.54 109.46 108.86 108.63 107.55 106.8 106.07 106.44 106.38 107.07 106.54 107.83 108.06 108.49 107.9 108.02 108.46 108.31 107.69 107.71 107.74 108.15 107.39 109.16 109.65 110.4 110.26 110.5 110.31 109.85 109.4 109.75 109.79 110.27 109.19 111.78 111.58 111.71 111.59 112.14 111.73 111.32 111.29 112.45 112.61 114.3 113.32 114.85 115.35 114.9 115.49 115.55 115.44 114.81 113.83 113.64 113.26 114.68
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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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