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
--
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