On 22 January 2012 19:29, Kevin Burton <rkevinbur...@charter.net> wrote: > I have some data where the frequency is heavily weighted on the lower end. > So I have lots of low values with very few higher values. I would like to > find breakpoints that cover the data with as much detail as possible. I find > that if I use hist() to automatically find the breaks for me it finds breaks > that are too coarse for the low values. I have tried the other algorithms > (like 'Scott' and 'FD') but I have been unable to get it to work for me. I > think I need breaks based on the inverse logarithm of the frequency so that > the low values which have a high frequency are more or less evenly > distributed about like the lower frequency high values. Is there a function > to find the breaks like this? Using ggplot2:
require(ggplot2) data(diamonds) qplot(carat, data = diamonds, geom = "histogram",log='xy') -- Sent from my mobile device Envoyait de mon portable ______________________________________________ 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.
