Hi,
I think you should also give the upper extreme:
x <- c(rnorm(80)+10, 101:110, 2001:2010)
hist(x, breaks=c(0, 20, 40, 60, 80, 100, 200, 500))
Error in hist.default(x, breaks = c(0, 20, 40, 60, 80, 100, 200, 500)) :
some 'x' not counted; maybe 'breaks' do not span range of 'x'
hist(x, breaks=c(0, 20, 40, 60, 80, 100, 200, 500, 2100)) ## which
looks horrible, but works, up to you how to cut it
HTH,
Ivan
Le 11/15/2010 15:53, Steve Sidney a écrit :
Dear list
I am trying to re-scale a histogram and using hist() but can not seem
to create a reduced scale where the upper values are not plotted.
What I have is about 100 of which 80 or so are between a value of 0
and 40 , one or two in the hundreds and an outlier around 2000.
What I would like to do is create an x-scale that shows 5 bins between
0-100 and then 3/4 bins between 100 and 2000 but I don't need any
resolution on the above 100 values.
If I use breaks c(0, 20, 40, 60, 80, 100, 200, 500) R gives me an
error saying that there are values not included, which of course I
know but I wish to ignore them.
It seems that I am missing something quite simple.
Any help would be appreciated.
Regards
Steve
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Ivan CALANDRA
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University of Hamburg
Biozentrum Grindel und Zoologisches Museum
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