Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
-0.0978339145409005 -0.061114984344326 -0.0346093482386506 -0.0192416848531983 -0.0423084780434488 0.922761802213626 -0.0579480403827707 0.11091600750011 1.14938260868304 0.163933298824692 -0.898036159496104 1.07519675583866 0.0880897236152704 -0.909086321425183 0.0896636455027791 -0.930564533713409 1.05384702751967 0.0230424193807341 0.0209175154204943 0.132184006131612 -0.839163087386618 -0.843015656408399 0.0824985068397358 1.02338935670594 -0.0416444545493731 -0.082250730037493 -0.132797645703873 -0.157137593340795 -0.16101317240676 0.805593138018239 0.81818376139633 -0.0273179264105021 -0.985587097700198 0.0281131587591395 -0.023854757619615 -0.0517582730630412 -0.0741218066337642 0.933956133102586 -0.0666187538781284 -0.075469878230393 -1.0612646597867 0.940460644783808 -1.04691226728023 0.0743705357178721 0.122437652291408 0.150153852791857
Chart options
R Code
library(Hmisc) m <- mean(x) e <- median(x) bitmap(file='test1.png') op <- par(mfrow=c(2,1)) mydensity1 <- density(x,kernel='gaussian',na.rm=TRUE) plot(mydensity1,main='Density Plot - Gaussian Kernel',xlab='Median (0 -> full line) | Mean (0 -> dashed line)',ylab='density') abline(v=e,lty=1) abline(v=m,lty=5) grid() myseq <- seq(0.01, 0.99, 0.01) hd <- hdquantile(x, probs = myseq, se = TRUE, na.rm = FALSE, names = TRUE, weights=FALSE) plot(myseq,hd,col=2,main='Harrell-Davis Quantiles',xlab='quantiles',ylab='Median (0 -> full) | Mean (0 -> dashed)') abline(h=m,lty=5) abline(h=e,lty=1) grid() par(op) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,'Median versus Mean',2,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'mean',header=TRUE) a<-table.element(a,mean(x)) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'median',header=TRUE) a<-table.element(a,median(x)) 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
2 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation