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Data:
101.03 100.65 100.66 100.54 100.51 100.53 100.53 101.02 101.07 101.37 101.45 101.44 101.45 100.99 101.11 101.31 101.53 101.6 101.61 102.04 102.36 102.74 102.96 103.01 103.02 102.34 102.38 102.54 102.71 102.78 102.78 103.27 103.4 103.74 103.89 103.92 99.68 99.06 99.12 99.37 99.63 99.69 99.76 100.16 100.46 100.83 101.09 101.14 101.25 101.09 101.18 101.14 101.23 101.17 100.84 101.04 101.18 101.1 101.21 101.26 101.85 101.82 101.93 101.95 101.97 102.04 101.37 101.2 101.14 101.27 101.39 101.4
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R Code
par3 <- '0.1' par2 <- '0.9' par1 <- '0.1' 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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