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Data:
90.33 90.62 91.22 91.39 91.72 91.32 91.1 91.05 91.45 91.53 91.63 91.78 92.32 92.8 92.65 93.35 93.63 93.76 93.83 93.37 93.41 93.84 94.66 94.65 94.91 95.81 95.87 95.84 96.31 96.17 96.16 96.48 96.61 97.68 97.83 97.88 98.63 99.25 99.64 100.47 101.12 101.33 100.5 99.93 99.81 99.74 99.72 99.87 100.39 100.09 100.03 101.2 99.96 99.94 100.01 98.69 98.19 98.08 98.46 98.75 99.25 99.68 99.64 101.46 100.99 101.12 100.6 100.24 100.16 101.25 100.74 100.61
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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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Big Analytics Cloud Computing Center
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