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Data:
93.41 93 96.61 99.69 101.05 98 97.32 97.83 99.57 97.63 96.68 96.28 99.81 101.43 105.59 108.86 104.01 101.95 101.52 105.61 108.43 105.54 100.11 99.93 99.88 102.71 101.89 101.93 99.49 99.87 100.33 101.5 102.29 97.04 95.71 97.37 96.51 96.33 96.88 97.59 98.96 99.93 101.34 98.04 98.56 96.73 92.36 87.88 79.84 82.91 87.78 89.36 91.86 92.48 93.4 89.97 83.96 82.76 82.97 81.07
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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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