"pairdist"(X, Y=NULL, ..., period=NULL, method="C", squared=FALSE)X and Y would be
numeric vectors of equal length.
Alternatively Y may be omitted and X may be
a list with two components x and y,
or a matrix with two columns.
"C" and "interpreted".
Usually not specified.
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. The arguments X and Y must determine
the coordinates of a set of points. Typically X and
Y would be numeric vectors of equal length. Alternatively
Y may be omitted and X may be a list with two components
named x and y, or a matrix or data frame with two columns.
Alternatively if period is given,
then the distances will be computed in the `periodic'
sense (also known as `torus' distance).
The points will be treated as if they are in a rectangle
of width period[1] and height period[2].
Opposite edges of the rectangle are regarded as equivalent.
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).
The argument method is not normally used. It is
retained only for checking the validity of the software.
If method = "interpreted" then the distances are
computed using interpreted R code only. If method="C"
(the default) then C code is used. The C code is somewhat faster.
crossdist,
nndist,
Kest
x <- runif(100)
y <- runif(100)
d <- pairdist(x, y)
d <- pairdist(cbind(x,y))
d <- pairdist(x, y, period=c(1,1))
d <- pairdist(x, y, squared=TRUE)
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