Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
79.21 79.08 79.88 80.57 80.9 80.89 80.61 80.98 81.68 83.28 83.94 89.25 95.3 97.68 98.53 98.32 97.02 90.13 88.49 88.07 87.17 86.1 86.59 85.89 85.82 86.68 86.3 86.32 85.61 85.52 85.97 86.6 86.78 84.98 85.21 86.39 88.39 88.83 95.76 100.98 102.56 102.92 104.35 105.07 105.41 105.06 104.33 104.61 104.78 104.38 104.08 103.4 101.72 100.1 100.37 96.27 95.28 95.85 96.76 97 96.71 96.97 96.97 98.01 99.18 99.51 99.16 99.4 97.59 96.71 96.56 96.42
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