Dear R Users, R Core
Team,
I have a two dimensional space where I measure a numerical value in two
situations at different points. I have measured the change and I would like to
test if there are areas in this 2D-space where there is a different amount of
change (no change, increase, decrease). I don´t know if it´s better to analyse
the data just with the coordinates or if its better to group them in "pixels"
(and obtain the mean value for each pixel) and then run the cluster analysis. I
would like to know if there is a package/function that allows me to do these
calculations.I would also like to know if it could be done in a 3D space (I
have collapsed the data to 2D because I don´t have many points.
Thanks in advance
J Toledo
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