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Data:
30.06 30.46 30.46 30.49 30.49 30.5 30.5 30.5 30.51 30.51 30.61 30.88 30.95 31.09 31.28 31.31 31.32 31.34 31.34 31.34 31.34 31.36 31.36 31.36 31.72 32.07 32.13 32.19 32.26 32.27 32.28 32.28 32.28 32.29 32.61 32.68 32.69 32.74 32.86 32.86 32.9 32.95 32.95 32.96 32.99 33 33.06 33.42 33.48 33.5 33.51 33.52 33.55 33.56 33.56 33.56 33.6 33.61 33.62 33.72 33.83 33.96 34.06 34.11 34.11 34.21 34.19 34.17 34.12 34.15 34.15 34.15
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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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Big Analytics Cloud Computing Center
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