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Data:
462.23 464.79 465.22 468.52 469.02 469.15 469.15 469.15 469.15 469.41 469.45 469.45 469.93 477.19 478.97 480.44 480.56 481.8 483.24 483.45 483.53 483.59 483.59 483.59 492.36 495.71 499.29 499.78 500 500 500.29 500.42 500.61 498.9 499.06 496.61 498.41 501.26 505.4 506.07 506.2 507.14 507.14 507.28 507.34 507.48 506.97 506.97 510.1 515.84 519 520.1 521.26 521.04 521.12 521.12 521.1 521.16 521.14 521.13 522.17 531.39 532.12 533.34 535.72 536.25 536.25 536.68 536.76 536.79 536.99 536.99 542.38 544.1 546.96 547.04 550.27 550.32 551.17 552.83 552.35 552.44 552.47 548.78
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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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