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Data:
3.88 3.98 3.29 2.88 3.22 3.62 3.82 3.54 2.53 2.22 2.85 2.78 2.28 2.26 2.71 2.77 2.77 2.64 2.56 2.07 2.32 2.16 2.23 2.4 2.84 2.77 2.93 2.91 2.69 2.38 2.58 3.19 2.82 2.72 2.53 2.7 2.42 2.5 2.31 2.41 2.56 2.76 2.71 2.44 2.46 2.12 1.99 1.86 1.88 1.82 1.74 1.71 1.38 1.27 1.19 1.28 1.19 1.22 1.47 1.46 1.96 1.88 2.03 2.04 1.9 1.8 1.92 1.92 1.97 2.46 2.36 2.53 2.31 1.98 1.46 1.26 1.58 1.74 1.89 1.85 1.62 1.3 1.42 1.15 0.42 0.74 1.02 1.51 1.86 1.59 1.03 0.44 0.82 0.86 0.58 0.59 0.95 0.98 1.23 1.17 0.84 0.74 0.65 0.91 1.19 1.3 1.53 1.94 1.79 1.95 2.26 2.04 2.16 2.75 2.79 2.88 3.36 2.97 3.1 2.49 2.2 2.25 2.09 2.79 3.14 2.93 2.65 2.67 2.26 2.35 2.13 2.18 2.9 2.63 2.67 1.81 1.33 0.88 1.28 1.26 1.26 1.29 1.1 1.37 1.21 1.74 1.76 1.48 1.04 1.62 1.49 1.79 1.8 1.58 1.86 1.74 1.59 1.26 1.13 1.92 2.61 2.26 2.41 2.26 2.03 2.86 2.55 2.27 2.26 2.57 3.07 2.76 2.51 2.87 3.14 3.11 3.16 2.47 2.57 2.89 2.63 2.38 1.69 1.96 2.19 1.87 1.6 1.63 1.22 1.21 1.49 1.64 1.66 1.77 1.82 1.78 1.28 1.29 1.37 1.12 1.51 2.24 2.94 3.09 3.46 3.64 4.39 4.15 5.21 5.8 5.91 5.39 5.46 4.72 3.14 2.63 2.32 1.93 0.62 0.6 -0.37 -1.1 -1.68 -0.78
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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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