Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
3 2 0 5 3 1 4 2 8 0 3 4 4 4 1 1 3 5 2 2 2 4 5 4 2 3 3 6 2 4 3 4 5 2 3 6 4 5 3 6 3 2 2 2 2 5 10 0 0 3 3 3 1 2 0 6 2 4 4 0 0 6 1 1 5 4 7 2 5 4 6 5 6 5 4 4 4 3 4 2 1 8 5 3 6 4 3 2 3 5 3 4 4 5 4 0 1 3 3 4 5 5 1 2 3 5 4 4 1 1 2 2 0 1 5 5 0 3 5 4 4 3 6 5 6 0 5 0 3 0 9 4 1 6 2 1 3 2 3 6 2 2 0 7 3 1 2 6 5 0 4 5 0 3 7 3
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