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Data:
92.9 93.3 93.6 93.6 94 94 94.2 93.3 93 93 94.7 95.6 95.8 96 95.4 95.3 94.4 94.4 94.3 93.9 94.5 93.6 93.9 93.9 93.7 94.6 94.4 94 91.1 91.1 90.7 90.8 89.8 90.7 90.3 89.7 89 88.4 89.3 89.3 89.3 89.3 88.4 89.4 91.3 90.9 91 89.3 88.1 89 90.1 90.6 90.6 90.2 89.5 90.5 90.4 89.7 90 90.2 89.3 89.6 89.8 89.4 89.3 89.4 89.5 89.2 90 88 88.3 89.1
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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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