2 messages · Wolski, Brian Ripley
Hi! Do not understand following behavior.
summary(test$dif)
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.7389 0.9713 0.9850 0.9818 1.0000 1.0000 length(test$dif) [1] 85879 tmp <- hist(test$dif,breaks=100,freq=FALSE) The density on the Y axis in the plot are in the range 0-200. Thought that the density should be in the range 0-1 (something like tmp$count/length(test$dif))? Eryk P.S. In case of frequencies all are fine for the dataset.
A density integrates to one, so the total area of the bins is one. It's your `Thought' which is incorrect. For hist(freq=FALSE) the area of each rectangle (not its height) represents the proportion of the data falling into the base of the rectangle.
Hi! Do not understand following behavior.
summary(test$dif)
Min. 1st Qu. Median Mean 3rd Qu. Max. 0.7389 0.9713 0.9850 0.9818 1.0000 1.0000 length(test$dif) [1] 85879 tmp <- hist(test$dif,breaks=100,freq=FALSE) The density on the Y axis in the plot are in the range 0-200. Thought that the density should be in the range 0-1 (something like tmp$count/length(test$dif))? Eryk P.S. In case of frequencies all are fine for the dataset.
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Brian D. Ripley, ripley at stats.ox.ac.uk Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595