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Data:
30.37 30.41 30.46 30.7 30.85 30.93 31 31.16 31.14 31.15 31.2 31.22 31.25 31.39 31.49 31.71 31.73 31.96 32.05 32.12 32.28 32.42 32.48 32.89 33.7 34.59 35.1 35.87 37.15 37.61 37.97 38.94 39.18 39.49 39.86 40.02 40.2 40.85 41.45 41.7 41.92 41.97 42.31 42.61 42.82 43.07 43.51 43.57 43.86 44.49 45.99 48.22 49.46 50.39 50.4 50.59 51.32 51.86 52.47 52.73 52.73 53.59 54.11 54.8 55.72 56.06 56.66 57.05 57.31 57.89 58.32 58.72 59.02 59.54 61.49 62.26 63.49 64.36 65.93 66.82 68.85 71.27 72.27 73.4
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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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