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Data:
498.10 498.76 498.88 498.88 498.88 498.88 499.48 501.21 502.05 502.05 502.05 504.10 506.81 516.88 520.43 520.68 520.68 520.68 521.03 521.25 521.25 521.25 521.65 521.65 522.77 518.72 519.27 519.38 521.29 521.29 521.29 523.47 523.86 524.14 524.14 524.14 534.60 534.99 535.39 535.39 535.39 535.39 535.39 535.64 536.08 537.80 537.80 537.80 537.85 544.39 545.15 544.65 544.65 544.65 545.73 548.94 550.94 551.22 551.22 551.22 553.12 565.37 566.73 566.73 566.78 566.78 566.78 566.78 566.93 566.93 566.93 566.93 574.38 574.40 574.40 574.40 574.40 574.40 574.50 574.50 574.67 574.66 574.66 574.94 576.10 583.38 584.15 584.15 584.15 584.15 585.14 585.14 585.67 586.49 586.81 586.85
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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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