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Data:
-719.405774320179 -1892.13972512203 948.584751735815 694.702053597555 -1016.98885981099 -985.243198088241 -439.006139106049 -8289.64839707302 478.341587615535 -4619.19009697141 -438.889269676146 1922.27169831854 -9316.27276546704 4934.24926529499 294.506079291393 6062.59748359645 1545.14497838096 -5388.19323530356 -8728.74410350888 -10701.1030591330 10938.7367915057 -12697.2927303432 -1368.16155419152 545.462343565687 8646.56018969786 -5152.59361283694 -5230.8539005193 -1548.47014455579 -337.152015819184 1309.74791688059 2666.25355012676 -5370.63361781142 -7476.69691278903 8086.32165260496 6571.98868771161 3149.48850681552 104.637480526355 -1952.46924181325 3591.38504257275 962.019554951216 -5699.66826957231 5791.29992251809 -3685.82799741182 -4065.74959426738 6283.84760394879 6963.92536654231 4239.8594212716 5856.07066535003 7938.63020854731 4533.55760400507 1779.15891762194 -3469.0240935556 1497.02166817019 4510.32580191698 -4112.36752504752 254.655960321710 2559.86399726922
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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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