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Data:
32.98 32.7 32.74 32.87 32.95 32.94 32.94 32.97 32.87 32.96 32.97 32.99 32.99 33.04 33.23 33.03 33.05 33.03 33.04 33.11 33.14 33.08 33.09 33.07 33.07 33.02 33 33.08 33.35 33.36 33.36 33.35 33.41 33.47 33.47 33.48 33.48 33.55 33.68 33.72 33.79 33.83 33.83 33.84 33.91 34.06 34.16 34.16 34.16 34.29 34.48 34.48 34.39 34.29 34.29 34.25 34.2 34.1 34.09 34.06 34.06 34.04 34.19 34.21 34.17 34.08 34.08 34.08 34.3 34.28 34.45 34.41
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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Big Analytics Cloud Computing Center
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