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Data:
100.58 118.48 79.58 81.97 127.13 120.76 120.26 74.9 67.59 87.73 102.87 144.94 110.48 96.34 100.43 90.88 128.28 101.21 73.76 73.64 66.4 57.34 113.59 123.53 102.87 102.99 95.8 98.43 102.65 129.55 100.37 101.93 101.94 93.87 100.91 92.64 101.67 88.67 129.86 98.07 166.45 176.52 82.07 92.18 95.02 84.69 103.01 107.9 204.13 101.99 119.23 95.65 160.95 111.06 150.41 94.79 160.34 104.08 101.07 111.5 136.9 141.71 153.98 134.27 124.71 72.89 101.2 73.28 174.05 111.9 97.06 105.23 109.13 84.04 118.82 90.84 144.28 110.16 86.09 59.87 108.97 94.93 87.36 143.52 108.7 121.13 210.25 110.2 161.46 99.41 132.72 174.29 69.93 83.43 127.53 187.58
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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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Raw Output
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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