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Data:
108.56 108.71 116.73 118.88 119.6 119.62 119.64 119.74 119.74 119.74 119.9 119.9 119.9 119.9 119.9 121.02 122.95 123.62 123.67 123.81 123.83 123.83 123.83 123.83 123.89 123.89 124.44 125.51 125.89 126.12 126.25 126.25 126.3 126.31 126.38 125.51 126.82 126.86 126.86 127.28 128.72 128.77 128.84 128.88 128.88 128.88 128.88 128.88 128.89 128.9 128.92 129.05 129.83 130.54 130.82 130.91 131.04 131.07 131.15 131.2 131.2 131.42 131.45 131.7 134.24 135.17 135.51 135.65 136.02 136.07 136.13 136.07
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R Code
par3 <- '0.01' par2 <- '0.90' par1 <- '0.10' 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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