DATA MINING
Desktop Survival Guide by Graham Williams |
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A histogram is a useful graphical view of the spread of the data. A
histogram plot in Rattle includes three components. The first of these
is obviously the coloured vertical bars. The default behaviour of R
is to partition the data into ranges, and the frequency of each range
is display as the bar. This is a lot of text, just as a place holder
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library(rattle) data(audit) hs <- hist(audit$Income, main="", xlab="", col=rainbow(10)) dens <- density(audit$Income) rs <- max(hs$counts)/max(dens$y) lines(dens$x, dens$y*rs, type="l") rug(audit$Income) title(main="Distribution of Income", sub=paste("Rattle", Sys.time(), Sys.info()["user"])) |
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Copyright © 2004-2006 Graham.Williams@togaware.com Support further development through the purchase of the PDF version of the book.