Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
3.5 4.8 6 5.9 3.6 6.8 8.7 8.4 8.1 8.9 8.7 7.8 6.3 7.5 6.8 7 8.8 8.4 7.6 7.9 7.4 8.7 8.7 8 9.4 8.5 5.8 2.8 3.3 4.8 1.8 4.8 -0.9 -6 -9 -21.1 -20.9 -23.5 -20.8 -17.3 -16.1 -13.9 -14.6 -9.2 -9.7 -7.2 -5 -8.1 -6.2 -4.8 -3.1 -1.4 0.6 -0.8 -2 0.2 -0.1 0.3 0.2 2.6 2.5 1.5 5.7 4.3 2.7 1.7 -2.2 -3.2 -0.5 -3.1 -4.8 -1.3 -1.8 -1.7 -2.8 -3.4 -4.9 -4.8 -5.4 -4.7 -6.6 -7.6 -6.8 -5.6 -5.6 -3.7 -5.1 -5.6 -4.1 -3.8 -3.1 -1.4 -2.4 -0.3 -0.3 0.1
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
1 seconds
R Server
Big Analytics Cloud Computing Center
Click here to blog (archive) this computation