0
$\begingroup$

For the point process finpines (standard data set of the spatstat library), I would like to verify whether it satisfies the Complete Spatial Randomness (CSR) property. I would like to use a maximum absolute deviation (MAD) test in R via

mad.test(finpines, fun=Kest, correction='translate', nsim=19, nrank=1)

It is said that the significance level can be computed via $1/(M+1)$, where $M$ is the number of simulations performed in the Monte Carlo simulation. However, when running this, I get a result like

mad = 1.5515, rank = 4, p-value = 0.2

Notice that I specified the rank to be 1 and the result says it is 4. Also, the p-value here seems indeed to be calculated via the above formula, given that the rank is 4.

How is it possible that the rank changes, or, how should I interpret the outcome of this test?

New contributor
Rutger Mauritz is a new contributor to this site. Take care in asking for clarification, commenting, and answering. Check out our Code of Conduct.
$\endgroup$

Your Answer

Rutger Mauritz is a new contributor. Be nice, and check out our Code of Conduct.

By clicking “Post Your Answer”, you agree to our terms of service, privacy policy and cookie policy

Browse other questions tagged or ask your own question.