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Data:
1358.01 996.25 1145.66 1313.59 1363.09 1208.65 1016.06 1109.15 1233.99 1101.63 1037.31 1053.70 1042.82 1361.94 1359.60 1268.87 1449.83 1646.20 2305.04 1939.32 1630.19 1979.47 2413.92 2435.64 3392.23 3470.87 2879.79 2709.70 2712.43 2461.57 2522.68 2638.74 3610.47 3537.09 3067.53 3836.15 2937.24 1832.67 1400.23 1244.17 1075.43 1009.45 878.73 915.92 672.62 522.86 515.57 549.60 402.53 426.79 593.26 724.49 780.60 865.32 3007.16 3420.03 -5485.41 -1882.57 -1365.13 -3132.40
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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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