Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-0.181522675 0.027484233 0.035845163 0.02645656 -0.025079594 0.080434883 0.028309831 0.055884866 0.077929418 0.012619456 -0.021085382 0.120564813 -0.120699613 -0.029731785 -0.018707174 -0.052966034 -0.071292411 0.0125884 -0.046359987 0.029711131 0.01208106 0.002591969 0.048604574 0.097240699 -0.169416195 -0.074730702 0.004699456 -0.016414712 -0.010163004 0.123110568 0.002642395 0.032527273 0.047335339 0.069147875 0.039961483 0.136609601 -0.109306418 -0.094041885 0.04749451 -0.043852714 -0.00904968 0.151305062 -0.087388419 0.008380738 0.053715287 -0.006211395 0.001121426 0.005229885 -0.155813745 -0.077829277 -0.051105428 -0.050308314 0.021093937 0.17948073 -0.019811275 0.02719269 0.022338653 -0.017836631 -0.107377219 0.026367702
Sample Range:
(leave blank to include all observations)
From:
To:
lowest quantile
highest quantile
step size
Chart options
Title:
Label y-axis:
Label x-axis:
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')
Compute
Summary of computational transaction
Raw Input
view raw input (R code)
Raw Output
view raw output of R engine
Computing time
0 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation