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Data:
246.78 247.91 247.99 248.6 248.68 248.75 248.75 249.03 249.05 249.57 249.35 249.46 249.46 250.82 254.19 255.18 256.68 256.73 256.73 257.39 257.78 258.67 258.71 258.91 258.91 261.38 262.42 262.77 263.24 262.83 262.83 263.09 263.6 265.68 266.08 266.28 266.28 269.14 270.96 272.97 273.13 274.73 274.73 274.59 275.15 275.16 275.38 275.4 275.4 275.71 275.21 279.04 279.1 279.11 279.11 279.02 279.3 279.34 279.36 279.39 279.39 280.21 283 284.33 285.15 284.21 284.21 284.17 286.28 286.95 287.12 287.34
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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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