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Data:
37.3 39.5 40.6 41.4 41.3 43.5 44 44.9 46.4 47.4 48.7 49.7 51.1 53.2 56.2 58.1 60.6 64.1 67.4 68 70.9 72.8 74.9 76.1 77 78.1 80 79.7 82.7 84.3 83.5 85.9 87 88.6 90.6 91.3 91.6 93.2 95 95.2 97.4 98.6 99.6 100.6 101.3 102.8 103.2 103 105.4 104.7 105.2 105.2 102.8 100.3 99.8 99.4 100.6 100.2 100.4 98.8 96.9 96.3 96.1 93.5 92.1 91.7 87.9 86.4 84.9 81.7 82.6 83.1
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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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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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