On 10/02/2008 8:14 PM, Andre Nathan wrote: > Hello > > I'm doing some experiments with the various histogram functions and I > have a two questions about the "prob" option and binning. > > First, here's a simple plot of my data using the default hist() > function: > >> hist(data[,1], prob = TRUE, xlim = c(0, 35)) > > http://go.sneakymustard.com/tmp/hist.jpg > > My first question is regarding the resulting plot from hist.scott() and > hist.FD(), from the MASS package. I'm setting prob to TRUE in these > functions, but as it can be seen in the images below, the value for the > first bar of the histogram is well above 1.0. Shouldn't the total area > be 1.0 in the case of prob = TRUE? > >> hist.scott(data[,1], prob = TRUE, xlim=c(0, 35))
It looks to me as though the area is one. The first bar is about 3.6 units high, and about 0.2 units wide: area is 0.72. There are no gaps between bars in an R histogram, so the gaps you see in this jpg are bars with zero height. Duncan Murdoch > > http://go.sneakymustard.com/tmp/scott.jpg > >> hist.FD(data[,1], prob = TRUE, xlim=c(0, 35)) > > http://go.sneakymustard.com/tmp/FD.jpg > > Is there anything I can do to "fix" these plots? > > My second question is related to binning. Is there a function or package > that allows one to use logarithmic binning in R, that is, create bins > such that the length of a bin is a multiple of the length of the one > before it? > > Pointers to the appropriate docs are welcome, I've been searching for > this and couldn't find any info. > > Best regards, > Andre > > ______________________________________________ > R-help@r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide http://www.R-project.org/posting-guide.html > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
