
(Formerly kijfun
) Computes a set of K- and K12-functions for all possible pairs of marks
kpqfun(p, upto, by)
A list of class "fads"
with essentially the following components:
a vector of regularly spaced distances (seq(by,upto,by)
).
a vector containing the p$marks
.
a data frame containing values of the pair density functions
a data frame containing values of the local neighbour density functions
a data frame containing values of the
a data frame containing values of the modified
Each component except r
is a data frame with the following variables:
a vector of estimated values for the observed point pattern.
a vector of theoretical values expected under the null hypotheses of spatial randomness (see kfun
) and
population independence (see k12fun
).
a "spp"
object defining a multivariate spatial point pattern in a given sampling window (see spp
).
maximum radius of the sample circles (see Details).
interval length between successive sample circles radii (see Details).
Function kpqfun
is simply a wrapper to kfun
and k12fun
, which computes either K(r)
for points of mark
plot.fads
,
spp
,
kfun
,
k12fun
,
kp.fun
.