How to obtain individual values of transformed Ripley's function local L(r) at a fixed distance r?

Hi again,

To be more specific, my question is: I get an output as a list of values 
labeled from 1 to 600 (let's say I
have 600 data points), but I am not sure how these labeled numbers are 
generated. Is
there a way to know how these labels correspond to my data points, or do they 
just
correspond to the order of my data points when they are read by R?--
Try the examples:

library(spatstat)
data(ponderosa)
X <- ponderosa
L <- localL(X)
r206 <- L$r[206]
L12a <- sapply(L, function(x) x[206])[1:108]
names(L12a) <- NULL
L12 <- localL(X, rvalue=r206)
all.equal(L12, L12a)

The values of L12 are in the same order as the points in X. I can't see 
that any re-ordering is occurring.

Hope this helps,

Roger
Ophelia

Quoting Ophelia Wang <opheliawang at mail.utexas.edu>:

Hi all,

I am using the spatstat package in R to compute local L function, the
transformed Ripley's k. I am interested in getting the estimated local
L(r) value for each data point at a fixed distance r. I know I can run
localL and then generate a plot to show an overall pattern of all the
data points combined, but is there a way to get these local L(r)
estimate values so they can be copied or exported into a table? Thanks
a lot!

Ophelia
-- 

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Roger Bivand
Economic Geography Section, Department of Economics, Norwegian School of
Economics and Business Administration, Helleveien 30, N-5045 Bergen,
Norway. voice: +47 55 95 93 55; fax +47 55 95 95 43
e-mail: Roger.Bivand at nhh.no

How to obtain individual values of transformed Ripley's function local L(r) at a fixed distance r?

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