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Data:
26.73 26.85 27.01 27.09 27.11 27.16 27.13 27.19 27.49 27.63 27.72 27.77 27.81 27.92 28.07 28.14 28.17 28.2 28.21 28.2 28.19 28.24 28.25 28.26 28.33 28.67 28.81 28.99 29.16 29.25 29.25 29.38 29.48 29.65 29.69 29.73 29.81 30.05 30.29 30.37 30.5 30.67 30.76 30.84 30.86 31.09 31.2 31.19 31.18 31.31 31.39 31.39 31.37 31.36 31.37 31.35 31.34 31.47 31.48 31.54
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R Code
par3 <- '0.01' par2 <- '0.99' 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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