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Data:
99.7 107.5 107.5 114.5 118.7 117.8 111.7 112.3 104.9 102.4 100.3 106.6 94.2 96.9 94.7 104.9 108.3 104.7 108.3 105.2 99.2 99.3 92.3 98.6 88.4 89.5 90.5 103.5 105.1 107.1 111.6 104.6 103.3 104.6 94.1 97.7 92.4 89.5 100.1 109.6 105.5 108.9 108.8 103.9 104.3 102.1 96.6 101.4 90.4 91.8 100.4 105.3 105.1 107.6 103.7 102.7 99.2 95.6 96.3 104.1
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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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