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Data:
83.73 83.8 83.88 83.33 83.21 83.11 83.17 83.14 82.4 82.3 81.95 81.66 81.49 80.52 80.68 80.58 80.45 80.46 80.56 80.38 79.73 79.51 79.41 79.08 78.88 78.87 78.91 78.17 77.99 77.94 77.89 77.86 77.76 77.51 77.09 76.82 76.56 76.76 76.76 76.56 76.43 75.91 75.89 75.26 75.11 74.72 74.26 73.81 73.34 73.34 73.44 73.13 72.74 72.77 72.64 72.18 71.55 70.48 70.21 69.9 69.75 69.28 69.38 69.29 69.11 69.06 69.06 68.07 67.55 66.6 65.84 65.05
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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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