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Data:
299.81 299.01 296.82 296.67 296.95 296.80 296.80 295.93 293.77 291.02 288.61 284.55 284.55 278.14 273.28 270.14 268.36 267.15 267.15 265.47 261.75 256.51 252.98 251.17 251.17 244.27 240.54 238.92 237.47 235.91 235.91 231.41 224.94 222.19 219.06 217.83 217.83 216.89 213.84 212.90 213.98 215.31 215.31 214.09 213.71 211.54 209.40 207.33 207.33 202.75 200.26 198.99 198.82 198.43 198.43 195.68 195.45 193.65 191.38 189.71 189.71 185.49 183.01 182.38 181.60 182.13 182.13 180.81 180.25 179.84 178.50 178.11
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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')
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1 seconds
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Big Analytics Cloud Computing Center
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