Dear R-users,
I was wondering if someone could give me some advices on the following problem. I tried to apply moranâs test to a small dataset and couldnât succeed, here is the error message:  mor <- moran.test(x, res2)  Avis dans moran.test(x, res2) :  Out-of-range p-value: reconsider test arguments  mor   Moran's I test under randomization data: x weights: res2  Moran I statistic standard deviate = NaN, p-value = NA alternative hypothesis: greater sample estimates: Moran I statistic      Expectation         Variance      -0.04166667      -0.04166667       0.00000000   It seems that I have a problem computing the standard deviation, variance and/or p-value. As a brief overview of what are x and res2: I have a square sample plot on the field divided into 5 lines / 5 columns and one value per âsub-plotâ, so a dataframe of 25 values (25 cells and 1 value per cellâ¦). The parameter x is a numeric vector containing those 25 values: str(x) num [1:25] 22920 19546 16170 21387 9499 ... To obtain my spatial weight matrix, I used 2 columns (X & Y) representing the coordinates of the center of each sub-plot (20x20m, so 10:10, 10:30, 10:50, etc.), transformed it into a neighborhood matrix of class ânbâ with dnearneigh() function, then into a object of class âlistwâ with nb2listw() function (with style=âBâ).  I end up with âres2â : res2 Characteristics of weights list object: Neighbour list object: Number of regions: 25 Number of nonzero links: 600 Percentage nonzero weights: 96 Average number of links: 24  Weights style: B Weights constants summary:   n nn S0  S1   S2 B 25 625 600 1200 57600  Ok so it seems quiet straightforward to me and I cannot figure out from where my problem is coming !!! any idea ? with regards [[alternative HTML version deleted]]
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