Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
100.32 100.33 100.38 100.35 100.44 100.47 100.49 100.52 100.47 100.48 100.48 100.53 100.62 100.89 100.97 101.01 101.02 100.92 100.93 100.98 101.07 101.1 101.11 101.19 101.31 101.52 101.61 101.65 101.66 101.56 101.75 101.83 101.98 102.06 102.07 102.1 102.42 102.91 103.14 103.23 103.23 102.91 103.11 103.14 103.26 103.3 103.32 103.44 103.54 103.98 104.24 104.29 104.29 103.98 103.98 103.89 103.86 103.88 103.88 104.31 104.41 104.8 104.89 104.9
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