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Data:
38327240.00 38147255.00 37964735.00 37587020.00 41323610.00 41125880.00 38327240.00 36466550.00 36646535.00 36646535.00 36846800.00 37206770.00 37767005.00 37767005.00 37407035.00 36466550.00 41323610.00 42063830.00 40945895.00 38327240.00 39447710.00 37767005.00 38524970.00 38887475.00 39265190.00 38327240.00 38524970.00 37206770.00 41323610.00 42624065.00 41506130.00 39447710.00 41686115.00 39265190.00 41506130.00 41323610.00 41883845.00 39825425.00 42063830.00 41883845.00 45242720.00 44484755.00 41506130.00 40005410.00 42063830.00 39265190.00 41323610.00 41686115.00 42444080.00 40765910.00 41686115.00 42246350.00 44304770.00 42624065.00 40385660.00 37964735.00 40205675.00 34045625.00 37026785.00 38704955.00 40385660.00 37964735.00 37964735.00 37964735.00 39265190.00 37407035.00 34968365.00 32927690.00 34408130.00 28628330.00 32169725.00 34228145.00 34605860.00 32547440.00 32727425.00 32169725.00 34045625.00 32727425.00 30129050.00 28250615.00 31426970.00 24529235.00 29008580.00 31049255.00 31049255.00 28628330.00 26389925.00 26209940.00 28250615.00 26389925.00 22851065.00 20412395.00 23031050.00 16873535.00 22470815.00 25449440.00 26389925.00 24331505.00 21730595.00 23591285.00 24331505.00 23771270.00 18171455.00 15573080.00 17431235.00 11833955.00 17613755.00 19672175.00 21350345.00 18551705.00 15933050.00 17431235.00 18171455.00 16691015.00 11093735.00 8655065.00 10893470.00 4735955.00 11453705.00 15573080.00
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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,signif(as.matrix(hd[i])[1,1],6)) a<-table.element(a,signif(as.matrix(attr(hd,'se')[i])[1,1],6)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab')
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Computing time
1 seconds
R Server
Big Analytics Cloud Computing Center
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