Visual inspection of the plot of a density() function vs a normal with the same mean and variance suggests the area under the density curve is bigger than under the normal curve. The two curves are very close over most of the domain. Assuming the normal curve does integrate to 1, this implies the area under density() is > 1.
Is there any assurance that the density kernel smoother produces something that integrates to 1? Or am I seeing things? I suppose an additional complexity is that density() produces discrete output, but then I'm looking at the continuous curve plot produced. ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
