On Mar 23, 2010, at 5:23 PM, ROLL Josh F wrote:
David
Thanks you for the guidance. I am looking to drive the data into
the intervals. Problem now is that I have a few 0 values that are
returning as NA (e.g -> (0.1,0.2] (0.1,0.2] (0.1,0.2] <NA>
(0,0.1] )
This is causing issues when I try and use the brks to inform a
clorepleth map. I tried setting all na's to 0 but because the
dataset is in factor form (I guess this is why) it wont allow me to
do so. Thoughts about how to handle the zero values? Thanks
JR
?cut
By default include.lowest is set to FALSE. Setting it to TRUE should
cure your missing zeroes problem. (My own feeling is that was a very
poor choice of defaults but I guess it is cast in stone now.)
You don't say how you tried setting NA's to zero (and doing so is not
a good idea if there are real zeroes in the data), but the is.na and
is.na<- functions are often needed for that purpose.
--
David.
-----Original Message-----
From: David Winsemius [mailto:dwinsem...@comcast.net]
Sent: Monday, March 22, 2010 12:46 PM
To: ROLL Josh F
Cc: r-help@r-project.org
Subject: Re: [R] Setting breaks to data more appropriately
On Mar 22, 2010, at 1:49 PM, LCOG1 wrote:
Basic question. For the below data, i would like to but each of the
values in a bin that represents their value. So the below would
hopefully put .1 in the 0-.1 bin, .2 in the .11-.2 bin and so forth.
The outlying values would then be put into and outer category
representing everything
1. Im
using the breaks to inform some code for making a clorepleth map that
represents probabilities, which in some cases IS greater than 1
... not if it's a quantile or a probability.
and i need
to identify those better.
Define "better".
As my code stands now, my real data is put put into this form when
brks is called:
0% 10% 20% 30% 40%
50% 60%
0.00000000 0.05054675 0.07787235 0.11235238 0.14424786 0.18089360
0.21475990
70% 80% 90% 100%
0.26309899 0.30807771 0.39478573 0.67573483.
But what i want is for the values to be placed in bins corresponding
to their value(0-.1, .11-.2, .21-.3 etc)
Pct.SFD<-c(.1,.2,.3,.4,.5,.6,.7,.8,.9,1,2,3)
brks <- quantile(Pct.SFD, )
I think this is clear.
It's not. You need to decide whether you want the breaking to be
driven by you or by the data. If you are doing the driving then use
cut(object, breaks=c(seq(0,1, by=0.1), Inf) , right=TRUE)
If the data is doing the driving then:
cut(object, breaks=quantile(object, probs= seq(0,1,1/10 ) ) ,
right=TRUE)
--
David.
Thanks
--
View this message in context:
http://n4.nabble.com/Setting-breaks-to-data-more-appropriately-
tp16780
19p1678019.html Sent from the R help mailing list archive at
Nabble.com.
______________________________________________
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.
David Winsemius, MD
West Hartford, CT
______________________________________________
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.
