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Data:
87.5 87.3 87.8 88.1 88.0 87.8 87.0 87.2 87.0 89.4 89.1 87.8 87.8 88.0 86.5 84.1 84.3 84.7 85.7 86.4 86.0 86.9 89.1 90.7 89.8 89.4 88.6 86.8 86.8 89.5 88.5 91.2 92.3 92.0 92.8 92.9 92.7 94.2 94.0 94.3 94.8 94.7 95.1 97.0 97.9 97.3 96.5 98.1 99.3 99.9 99.9 99.9 99.8 99.5 99.9 100.1 100.1 100.2 100.6 100.8 100.8 100.5 101.0 100.5 99.0 97.9 97.6 97.2 96.5 96.3 96.3 96.2 95.6 93.5 93.2 93.6 94.6 96.1 98.4 99.6 99.4 99.7 100.1 99.9
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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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