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Data:
94.72 95.76 96.14 97.11 97.19 97.43 97.43 97.56 97.66 97.75 97.82 97.82 97.82 98.35 98.19 98.19 98.21 98.22 98.26 98.23 98.26 98.5 98.51 98.51 98.51 98.89 99.55 99.9 100.12 100.09 100.09 100.09 100.46 100.71 100.79 100.79 100.93 101.15 101.53 101.91 102.18 102.24 102.2 102.32 102.43 102.45 102.84 102.96 102.96 103.1 103.4 103.74 103.97 104.29 104.33 104.46 104.9 105.31 105.63 105.68 105.87 106.34 106.6 107.1 107.06 107.4 107.4 107.43 107.75 107.84 107.97 108.04
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R Code
par3 <- '0.01' par2 <- '0.9' par1 <- '0.1' 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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