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Data:
-0.0035749789812738 -8.8817841970013E-16 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 -8.8817841970013E-16 -8.8817841970013E-16 -8.8817841970013E-16 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 0.0035749789812991 -0.0035749789812738 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 0.0035749789812991 -0.0035749789812738 -8.8817841970013E-16 -8.8817841970013E-16 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 -8.8817841970013E-16 0.0035749789812991 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0035749789812738 -8.8817841970013E-16 -8.8817841970013E-16 0.019310944913099 1.1546319456102E-14 0.0027285146532114 -0.0027285146531923 0.0027285146532114 7.5495165674511E-15 -0.0027285146531923 0.0027285146532114 7.5495165674511E-15 7.5495165674511E-15 -0.0027285146531923 1.1546319456102E-14 1.1546319456102E-14 0.011255698105411 0.0038520848865815 3.9968028886506E-14 -0.0038520848865602 -1.8651746813703E-14 0.0038520848865815 3.9968028886506E-14 -0.0038520848865602 -1.8651746813703E-14 0.0038520848865815 3.9968028886506E-14 -0.0038520848865602 -1.8651746813703E-14 0.0038520848865815 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 3.9968028886506E-14 0.01184802699654 -1.6431300764452E-14 -1.6431300764452E-14 0.0022770408320838 3.1530333899354E-14 0.010933190904732 -2.2648549702353E-14 0.0037425193383771 3.8635761256955E-14 -0.0037425193383611 0.0037425193383771 3.8635761256955E-14 3.8635761256955E-14 -0.0037425193383611 0.0037425193383771 3.8635761256955E-14 3.8635761256955E-14 3.8635761256955E-14 3.8635761256955E-14 3.8635761256955E-14 -0.0033676364848612 -2.2648549702353E-14 0.0033676364848771 -0.0033676364848612 -2.2648549702353E-14 -2.2648549702353E-14 -0.00037488285352261 0.0037425193383771 3.8635761256955E-14 0.014095188847639 -0.0029509427537442 -9.7699626167014E-15 -9.7699626167014E-15 0.00295094275369 -4.4408920985006E-14 -4.4408920985006E-14 -4.4408920985006E-14 -4.4408920985006E-14 -4.4408920985006E-14 -0.0029509427537442 0.00295094275369 -0.0029509427537442 0.00295094275369 -0.0029509427537442 0.00295094275369 -4.4408920985006E-14 -4.4408920985006E-14 -4.4408920985006E-14 -0.0029509427537442 -9.7699626167014E-15 -9.7699626167014E-15 -9.7699626167014E-15 -9.7699626167014E-15 0.00295094275369 -0.0029509427537442 -9.7699626167014E-15 -9.7699626167014E-15 -9.7699626167014E-15 -9.7699626167014E-15 0.00295094275369 0.0022075064152558 0.0029357819250451 -4.7073456244107E-14 -4.7073456244107E-14 -4.7073456244107E-14 -0.0029357819250468 4.5297099404706E-14 4.5297099404706E-14 0.0029357819250451 -4.7073456244107E-14 -0.0029357819250468 4.5297099404706E-14 4.5297099404706E-14 0.0029357819250451 -0.0029357819250468 4.5297099404706E-14 0.0029357819250451 -4.7073456244107E-14
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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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