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Data:
530.3 527.76 521.41 1601.93 1577.49 1551.43 1551.43 1516.88 1485.95 1438.22 1385.06 1329.49 1329.49 1276.16 1242.34 1181.59 1160.21 1135.18 1135.18 1084.96 1077.35 1061.13 1029.98 1013.08 1013.08 996.04 975.02 951.89 944.4 932.47 932.47 920.44 900.18 886.9 867.74 859.03 859.03 844.99 834.82 825.62 816.92 813.21 813.21 811.03 804.16 788.62 778.76 765.91 765.91 753.85 742.22 732.11 729.94 731.22 731.22 729.11 726.94 720.52 709.36 703.21 703.21 695.88 681.63 672.1 665.49 658.93 658.93 656 650.66 645.93 638.74 634.67
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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