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Data:
203.5327635 233.3949787 265.3749378 238.2887181 233.8883315 200.1135257 193.075291 200.3316602 189.6318264 182.4144612 165.0136023 165.1644974 174.5445478 190.5782252 188.5721003 171.1662469 177.7862583 176.8870021 164.7797008 157.3494377 157.6769892 148.3253595 151.4509619 179.5390722 199.2856905 204.9991588 198.04192 227.3417515 216.5149126 198.1351744 188.54102 198.1050532 191.7526316 181.680574 185.3262878 177.5496333 170.1294823 142.5548596 147.9798013 135.9440529 131.9967053 118.6290495 115.4275422 103.2848045 90.8634411 83.36926589 99.34306884 109.5846973 121.2429684 155.2730714 196.2456621 185.3875028 174.7443763 152.3898484 156.4934404 145.2000346 124.4642236 132.2930956 128.6486894 140.8415436
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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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Big Analytics Cloud Computing Center
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