[R-sig-Geo] Help L Function

[Rolf Turner]

I would like to add:

* If you perform a pointwise test, the value of "r" at which you conduct 
the test much be chosen a priori --- before collecting, or at least 
before "looking at" the data.  Otherwise the associated p-value is 
meaningless. It is *very* unlikely that you had an a priori value of r 
in mind!

* A test based on the global envelope will not have very much power.

* My guess is that the dclf.test() route is your best bet.

cheers,

Rolf Turner

On 14/01/14 05:09, Marcelino de la Cruz wrote:

> Yes, it is possible and very easy. How do you extract your p-value
> depends on wether you are making a pointwise or a global test. See the
> help page of envelope(). You can also try a maximum absolute deviation
> test with dclf.test().
>
>
> Cheers,
>
> Marcelino
>
>
>
>
> El 13/01/2014 16:52, Francesco Carrer escribió:
>> Hi,
>>
>> I have a distribution of artifact within an archaeological surface
>> (dataset: ID, DIMENSION, X, Y), and I need to verify which is the
>> degree of
>> aggregation of these artifacts at different scales. I applied the L
>> Function (Lest in spatstat), and plotted the resulting observed values of
>> L(r) against the highest and lowest simulated values of L(r). Is it
>> possible to extract a p-value that assess that the aggregation of my data
>> is significantly higher (or lower) than the simulate values?