Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
85 93.96 87.38 85.78 88.17 90.32 90.63 89.19 88.49 88.03 85.96 81.14 90.38 92.65 94.01 87.48 88.74 91.83 91.35 90.49 90.77 90.37 92.77 92.3 94.46 99.2 99.21 94.09 96.74 101.26 100.79 100.96 97.54 97.46 98.07 98.73 96.94 100.44 106.19 94.62 98.18 103.34 100.48 100.38 98.61 98.15 100.64 102.04 102.89 102.14 104.81 103.3 102.55 102.04 100.82 101.02 102.69 103.41 102.31 102.8 102.57 104.28 96.59 102.03 102.33 102.05 100.86 102.05 101.94 101.7 102.56 102.27
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