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Data:
92.49 92.46 92.55 92.24 92.41 92.83 92.85 93.04 93.04 92.83 92.96 92.83 93.01 93.21 93.58 94.07 94.57 95.03 95.21 95.89 96.43 96.35 96.71 96.32 97.23 97.88 98.2 98.56 99.31 99.69 99.77 101.06 101.77 101.91 102.52 102.09 102.22 102.74 103.56 104.4 104.76 104.86 104.84 104.96 104.83 104.58 104.8 104.17 104.63 105.32 106.16 107.22 107.51 107.87 107.79 108.04 107.74 107.71 111.19 110.82 113.65 114.72 114.32 116.76 116.47 117.34 116.92 116.48 115.07 116.45 116.84 114.31
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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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