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)) 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.
