Send output to:
Browser Blue - Charts White
Browser Black/White
CSV
Data:
57 67 84 67 70 58 68 62 56 56 74 65 63 58 57 63 57 64 54 58 54 56 61 68 61 67 56 67 62 57 54 61 56 66 58 56 66 59 66 55 59 58 60 63 56 54 69 67 58 57 64 58 66 61 55 60 56 63 61 56 55 59 60 67 55 54 72 60 63 67 54 59 61 69 55 73 60 56 56 66 66 73 55 64 58 61 54 66 61 80 56 56 56 58 58 60 62 63 67 59 64 66 63 58 55 54 57 60 55 56 59 58 64 59 62 62 64 67 54 58 56 63 65 71 57 57 63 63 56 59 56 66 54 62 76 66 62 59 55 58 60 57
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