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Data:
4.6185277824407E-14 4.6185277824407E-14 -0.0045248945982537 3.5971225997855E-14 3.5971225997855E-14 0.0045248945983358 -0.0045248945982537 3.5971225997855E-14 3.5971225997855E-14 0.0045248945983358 4.6185277824407E-14 4.6185277824407E-14 -0.0045248945982537 3.5971225997855E-14 3.5971225997855E-14 3.5971225997855E-14 3.5971225997855E-14 0.0045248945983358 4.6185277824407E-14 4.6185277824407E-14 4.6185277824407E-14 -0.0045248945982537 3.5971225997855E-14 3.5971225997855E-14 0.0045248945983358 4.6185277824407E-14 -0.0045248945982537 3.5971225997855E-14 3.5971225997855E-14 0.0045248945983358 4.6185277824407E-14 4.6185277824407E-14 -0.0045248945982537 0.0045248945983358 4.6185277824407E-14 4.6185277824407E-14 -0.0045248945982537 3.5971225997855E-14 3.5971225997855E-14 3.5971225997855E-14 3.5971225997855E-14 0.022422464055836 0.0058953744807031 2.5313084961454E-14 -0.0058953744806747 0.0058953744807031 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 -0.0058953744806747 3.1086244689504E-15 3.1086244689504E-15 3.1086244689504E-15 0.0058953744807031 2.5313084961454E-14 -0.0058953744806747 3.1086244689504E-15 3.1086244689504E-15 3.1086244689504E-15 3.1086244689504E-15 0.0058953744807031 2.5313084961454E-14 -0.0058953744806747 0.0058953744807031 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 2.5313084961454E-14 -0.0058953744806747 3.1086244689504E-15 3.1086244689504E-15 3.1086244689504E-15 3.1086244689504E-15 0.0044247859804032 0.0058694225728475 -0.0058694225727582 0.0058694225728475 -0.0058694225727582 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 0.0058694225728475 -0.0058694225727582 4.7517545453957E-14 0.0058694225728475 -0.0058694225727582 0.0058694225728475 -0.0058694225727582 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 4.7517545453957E-14 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0058694225727582 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 0.0058694225728475 -0.0058694225727582 4.7517545453957E-14 4.7517545453957E-14 0.0058694225728475 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 0.0058694225728475 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0058694225727582 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0058694225727582 0.0058694225728475 4.1744385725906E-14 -0.0058694225727582 0.0058694225728475 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 0.0058694225728475 4.1744385725906E-14 -0.0058694225727582 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 4.7517545453957E-14 0.0058694225728475 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0014641291048583 0.0014641291049311 -0.0014641291048583 3.1086244689504E-14 3.1086244689504E-14 3.1086244689504E-14 3.1086244689504E-14 0.0014641291049311 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 4.1744385725906E-14 -0.0014641291048583 3.1086244689504E-14 3.1086244689504E-14 0.0014641291049311 0.016685189400742 -4.6185277824407E-14 -4.6185277824407E-14 -4.6185277824407E-14 -0.0043258899471459 -2.3536728122053E-14 -2.3536728122053E-14 -2.3536728122053E-14 -2.3536728122053E-14 0.0043258899470762 -0.0043258899471459 0.0043258899470762 -4.6185277824407E-14 -4.6185277824407E-14 -4.6185277824407E-14 -4.6185277824407E-14 -4.6185277824407E-14 -0.0043258899471459 -2.3536728122053E-14 -2.3536728122053E-14 -2.3536728122053E-14 0.0043258899470762 -4.6185277824407E-14 -4.6185277824407E-14 -4.6185277824407E-14 -4.6185277824407E-14 -0.0043258899471459 -2.3536728122053E-14 0.0050450557458763 0.017813082330248 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 -0.0070872018830737 0.0070872018830808 2.6201263381154E-14 2.6201263381154E-14 2.6201263381154E-14 -0.0070872018830737 -1.9095836023553E-14 0.0070872018830808 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 -0.0070872018830737 -1.9095836023553E-14 -1.9095836023553E-14 -1.9095836023553E-14 -1.9095836023553E-14 0.0070872018830808 2.6201263381154E-14 -0.0070872018830737 0.0070872018830808 2.6201263381154E-14 2.6201263381154E-14 -0.0070872018830737 -1.9095836023553E-14 -1.9095836023553E-14 0.027360528175881 -4.0856207306206E-14 -4.0856207306206E-14 0.005521063023759 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 -0.0055210630237914 -4.0856207306206E-14 -4.0856207306206E-14 0.005521063023759 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 -0.0055210630237914 -4.0856207306206E-14 -4.0856207306206E-14 0.005521063023759 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 -0.0055210630237914 -4.0856207306206E-14 -4.0856207306206E-14 -4.0856207306206E-14 0.005521063023759 8.4376949871512E-15 8.4376949871512E-15 8.4376949871512E-15 -0.0055210630237914 -4.0856207306206E-14 -4.0856207306206E-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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