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Data:
37.43 38.39 38.99 39.83 41.21 41.72 42.12 43.18 43.43 43.77 44.19 44.38 44.57 45.13 45.84 46.11 46.35 46.41 46.78 47.09 47.34 47.64 48.17 48.24 48.59 49.29 50.44 52.42 52.9 53.19 53.19 53.38 54.17 54.69 55.39 55.64 55.64 56.57 57.16 57.87 58.89 59.28 59.94 60.35 60.59 61.2 61.62 62.07 62.38 62.62 64.15 64.97 66.12 67.08 68.66 69.04 70.8 73.2 74.19 75.36 75.54 76.81 77.69 79.34 80.36 80.74 81.12 82.95 87.31 88.93 90.8 91.29 91.36 92.72 95.75 97.19 98.73 99.03 99.4 99.66 100.5 101.21 101.26 101.44 101.97 102.23 102.58 101.91 101.63 101.1 100.71 100.75 100.14 97.72 94.91 94.34 97.11 96.51 95.8 95.25 95.09 94.97 95.21 95.46 95.33 95.14 95.6 95.66 95.66 96.33 97.66 98.27 99.53 100.86 101.26 101.29 101.38 101.49 101.29 101.26
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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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Summary of computational transaction
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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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