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Data:
92.64 91.48 92.65 93.91 90.49 94.56 95.11 93.07 93.26 92.92 90.9 91.77 86.16 92.79 97.45 97.74 99.92 99.46 98.52 97.92 97.85 104.94 104.55 105.35 95.75 105.99 106.11 107.33 106.11 108.17 104.62 106.71 97.86 104.41 96.09 102.41 96.3 103.04 105.11 99.4 104.45 104.31 104.06 101.16 100.82 102.6 92.78 99.68 95.14 101.28 100.03 101.17 98.93 97.77 100.24 98.05 95.82 99.19 97.42 98.02 97.34 101.23 100.16 100.72 99.8 100.39 101.82 102.95 98.8 100.24 98.4 98.15
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R Code
par3 <- '0.1' par2 <- '0.99' par1 <- '0.00' 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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