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Data:
98.72 98.67 98.82 99.39 99.33 99.22 99.05 98.83 98.84 98.89 98.8 99.4 98.89 98.85 98.69 98.48 98.39 98.35 98.26 98.06 98.14 98.17 98.41 98.64 99.25 99.61 100.28 100.31 100.55 100.45 100.78 100.68 101.69 98.09 99.13 99.18 96.22 96.11 96 95.96 97.95 98.43 98.32 97.45 96.42 95.36 95.1 95.54 94.07 93.48 92.86 90.98 91.45 91.16 90.71 90.31 89.78 91.02 90.77 90.69
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R Code
par3 <- '0.1' 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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Big Analytics Cloud Computing Center
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