hi there,
Sorry if this is too simple and silly.
I just want to produce a correlogram using the following example, x and
y coord. are measured in m (i know that does not matter now, but keep
reading). I already have checked the sp.correlogram(), correlog(), and
similar functions in different packages (spdep, ncf) , but none of them
do what i want, which is very simple.
x y z
111.03 10.7 7
118.11 0.28 1.2
165.36 0.36 8.4
282.9 0.3 7.5
303.29 13.32 12.2
319.28 3.88 6.2
447 9 6
445.5 18.3 13.8
445.5 12.1 7.1
467.64 1.2 4.7
485.4 14.1 4.4
2.98 23.95 11.7
15 35.78 23.5
130.21 23.6 14.1
213.5 23.22 21.5
233.57 28.76 35.4
482.3 20.5 6
69.73 45.21 7.5
69.8 50.49 10.2
76.65 45.5 21.5
t1 <- read.table("datann.txt", header=TRUE)
head(t1)
plot(t1$x,t1$y)
I do only want the correlation to be computed by grouping the distances
between all pairs of trees into 1m classes, and then being able to save
that and plot the correlation (r) versus distance, very plain :)
i know that i could do a loop, and compute things, but i wonder if there
are something already prepared, or at least to select points within a
certain range of distance.
thanks for your help
c
--
-------------------------------------------------------------------------------
Christian Salas E-mail:[EMAIL PROTECTED]
PhD student http://environment.yale.edu/salas
School of Forestry and Environmental Studies
Yale University Tel: +1-(203)-432 5126
360 Prospect St Fax:+1-(203)-432 3809
New Haven, CT 06511-2189 Office: Room 35, Marsh Hall
USA
Yale Biometrics Lab http://environment.yale.edu/biometrics
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