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Data:
3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 -0.0058910332372659 -2.8865798640254E-14 -2.8865798640254E-14 -2.8865798640254E-14 -2.8865798640254E-14 -2.8865798640254E-14 -2.8865798640254E-14 0.0058910332372708 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 -0.0058910332372659 -2.8865798640254E-14 0.0058910332372708 3.3750779948605E-14 3.3750779948605E-14 -0.0058910332372659 -2.8865798640254E-14 0.0058910332372708 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 -0.0058910332372659 -2.8865798640254E-14 0.0058910332372708 3.3750779948605E-14 -0.0058910332372659 0.0058910332372708 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 3.3750779948605E-14 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0.0043384015986407 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 -0.0043384015985573 4.0856207306206E-14 4.0856207306206E-14 4.0856207306206E-14 4.0856207306206E-14 0.0043384015986407 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 -0.00072176112845712 -4.7517545453957E-14 0.00072176112845224 4.2632564145606E-14 4.2632564145606E-14 -0.00072176112845712 -4.7517545453957E-14 -4.7517545453957E-14 -4.7517545453957E-14 -4.7517545453957E-14 0.00072176112845224 -0.00072176112845712 -4.7517545453957E-14 0.00072176112845224 4.2632564145606E-14 4.2632564145606E-14 4.2632564145606E-14 -0.00072176112845712 -4.7517545453957E-14 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0.0021668480851331 4.2632564145606E-14 0.0086207430439429 0.007127613924236 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 -0.0021329549500964 0.0021329549501452 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 -0.0021329549500964 4.4853010194856E-14 0.0021329549501452 -0.0021329549500964 0.0021329549501452 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 3.9968028886506E-15 -0.0049839903809961 0.0085288363474842 -0.0085288363475362 -1.5543122344752E-14 0.0085288363474842 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -3.6415315207705E-14 -0.0085288363475362 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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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Computing time
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R Server
Big Analytics Cloud Computing Center
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