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Data:
3893.9 3799.2 3769.6 3768.6 3854.9 3778.5 3779.7 3803.2 3900.3 3792.6 3767.4 3752.6 3829.6 3722.6 3692.9 3681 3762.9 3661.7 3633.1 3621.5 3710 3619.4 3595.2 3573.2 3650.1 3554.2 3537 3528.6 3597.1 3521.9 3516.5 3515.7 3600.2 3517.1 3513.7 3528.2 3608.3 3502.5 3502.5 3495.3 3543.8 3425.3 3418.4 3406.4 3446.1 3341.1 3347 3354.9 3399 3288.9 3279 3275.2 3314 3227.1 3225.3 3228.6 3287.1 3210.1 3213.1 3228 3287 3211 3199.8 3166.3 3164 3156.7 3156 3165.5 3179.2 3182.5 3179.5 3193.5 3219.6 3221.9 3210.1
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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
1 seconds
R Server
Big Analytics Cloud Computing Center
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