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## S3 method for class 'pp3':
pairdist(X, \dots, periodic=FALSE, squared=FALSE)"pp3").squared=TRUE, the squared distances are
returned instead (this computation is faster).[i,j] entry is the distance
between the points numbered i and j.pairdist. Given a three-dimensional point pattern X
(an object of class "pp3"),
this function computes the Euclidean distances between all pairs of
points in X, and returns the matrix of distances.
Alternatively if periodic=TRUE and the window containing X is a
box, then the distances will be computed in the `periodic'
sense (also known as `torus' distance): opposite faces of the
box are regarded as equivalent.
This is meaningless if the window is not a box.
If squared=TRUE then the squared Euclidean distances
$d^2$ are returned, instead of the Euclidean distances $d$.
The squared distances are faster to calculate, and are sufficient for
many purposes (such as finding the nearest neighbour of a point).
pairdist,
crossdist,
nndist,
K3estX <- runifpoint3(20)
d <- pairdist(X)
d <- pairdist(X, periodic=TRUE)
d <- pairdist(X, squared=TRUE)Run the code above in your browser using DataLab