Description Usage Arguments Value Author(s) References See Also Examples
The Floating Grid Method is a spatially restricted permutation technique. Please read the reference mentioned below before using this function. This particular function can be used to perform permutation tests which make use of the Floating Grid permutation technique
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xy 
Geographical locations of observations. 
group 
Group membership for the observations. 
marks 
Should be a vector containing all observations, a twocolumn matrix containing two paired observations or a squared matrix containing relationships or distances between all observations (such as genetic relatedness or distance).The latter is a way to perform multivariate analyses. Note that the squared matrix does not need to be symmetrical: for instance, the genetic relatedness between paired individuals can be investigated by using males as columns and females as rows. 
iter 
Number of iterations for every grid cell size. Default is 999, though it is adviseable to perform 9999 interations for the final results. 
ratio 
The ratio between the sides of the grid cells. Default is 1. 
scale.seq 
Sequence of all grid cell sizes that will be tested. The number, order and values of this sequence are completely free, as long as they are numeric. Default is 20 equaly spaced out grid cell sizes from slightly larger than 0 to the maximum distance between any two individuals. Use the 
bootstrap 

correlate 
If one wants to compare two paired observations 
fgm
returns an object of class
"fgm", which can be accessed with the functions summary
and plot
.
Reinder Radersma
Reinder Radersma & Ben C. Sheldon, 2014. A new permutation test to explore and control for spatial autocorrelation in point pattern data. Manuscript submitted to MEE
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