Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
7.72 7.67 7.84 7.79 7.83 7.94 8.02 8.06 8.12 8.13 7.97 8.01 8 7.9 7.99 8.02 8.08 8.02 8.07 8.11 8.19 8.16 8.08 8.22 8.15 8.19 8.31 8.3 8.34 8.31 8.38 8.34 8.44 8.64 8.6 8.61 8.54 8.69 8.73 8.91 9.01 9.08 8.94 9.03 9.02 8.96 9.03 8.94 8.95 8.95 8.99 8.93 8.98 8.95 9.02 8.92 9.1 9.06 8.97 8.89 8.99 8.79 8.83 8.61 8.71 8.91 8.91 8.89 8.98 9 8.99 8.88 8.93 8.96 9.21 9.08 9.11 9.12 9.2 9.43 9.64 9.72 9.72 9.62
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