Last chance! 50% off unlimited learning
Sale ends in
Generate a random point pattern,
containing
runifrect(n, win = owin(c(0, 1), c(0, 1)), nsim = 1, drop = TRUE)A point pattern (an object of class "ppp")
if nsim=1 and drop=TRUE,
otherwise a list of point patterns.
Number of points.
Rectangular window in which to simulate the pattern.
An object of class "owin"
or something acceptable to as.owin,
which must specify a rectangle.
Number of simulated realisations to be generated.
Logical. If nsim=1 and drop=TRUE (the default), the
result will be a point pattern, rather than a list
containing a point pattern.
Adrian Baddeley Adrian.Baddeley@curtin.edu.au and Rolf Turner rolfturner@posteo.net
This function is a slightly faster version of
runifpoint
for the special case where the window is a rectangle.
The function generates n independent random points,
uniformly distributed in the window win,
by assigning uniform random values to the cartesian coordinates.
For normal usage we recommend runifpoint
because it is more flexible.
However, runifrect is slightly faster (when the window is a rectangle),
and may be preferable in very computationally-demanding tasks.
ppp.object,
owin.object,
runifpoint,
rpoispp,
rpoint
# 42 random points in the unit square
pp <- runifrect(42)
Run the code above in your browser using DataLab