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Data:
3779.70 3795.50 3813.10 3826.90 3833.30 3844.80 3851.30 3851.80 3854.10 3858.40 3861.60 3856.30 3855.80 3860.40 3855.10 3839.50 3833.00 3833.60 3826.80 3818.20 3811.40 3806.80 3810.30 3818.20 3858.90 3867.80 3872.30 3873.30 3876.70 3882.60 3883.50 3882.20 3888.10 3893.70 3901.90 3914.30 3930.30 3948.30 3971.50 3990.10 3993.00 3998.00 4015.80 4041.20 4060.70 4076.70 4103.00 4125.30 4139.70 4146.70 4158.00 4155.10 4144.80 4148.20 4142.50 4142.10 4145.40 4146.30 4143.50 4149.20 4158.90 4166.10 4179.10 4194.40 4211.70 4226.30 4235.80 4243.60 4258.70 4278.20 4298.00 4315.10 4334.30 4356.00 4374.00 4395.50
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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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