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Data:
299.81 299.01 296.82 296.67 296.95 296.80 296.80 295.93 293.77 291.02 288.61 284.55 284.55 278.14 273.28 270.14 268.36 267.15 267.15 265.47 261.75 256.51 252.98 251.17 251.17 244.27 240.54 238.92 237.47 235.91 235.91 231.41 224.94 222.19 219.06 217.83 217.83 216.89 213.84 212.90 213.98 215.31 215.31 214.09 213.71 211.54 209.40 207.33 207.33 202.75 200.26 198.99 198.82 198.43 198.43 195.68 195.45 193.65 191.38 189.71 189.71 185.49 183.01 182.38 181.60 182.13 182.13 180.81 180.25 179.84 178.50 178.11
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R Code
par3 <- '0.01' par2 <- '0.99' par1 <- '0.01' 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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