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Data:
1844.33 1845.39 1861.84 1862.85 1869.46 1870.8 1870.8 1871.52 1875.52 1880.38 1885.05 1886.42 1886.42 1891.65 1903.11 1905.29 1904.26 1905.37 1905.37 1905.12 1908.62 1915.08 1916.36 1916.68 1916.24 1922.05 1922.63 1922.47 1920.64 1920.66 1920.66 1921.19 1921.44 1921.73 1921.81 1921.81 1921.81 1921.48 1917.07 1912.64 1901.15 1898.12 1900.02 1900.02 1900.82 1901.9 1902.19 1901.84 1903.73 1889.7 1891.27 1894.48 1894.27 1893.98 1893.98 1895.62 1901.72 1905.4 1898.14 1898.09 1855.87 1868.53 1865.71 1872.59 1875.95 1875.95 1875.95 1878.08 1878.26 1876.39 1876.77 1876.88
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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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