Ldot | R Documentation |
Calculates an estimate of the multitype L-function
(from type i
to any type)
for a multitype point pattern.
Ldot(X, i, ..., from, correction)
X |
The observed point pattern,
from which an estimate of the dot-type |
i |
The type (mark value)
of the points in |
correction , ... |
Arguments passed to |
from |
An alternative way to specify |
This command computes
L_{i\bullet}(r) = \sqrt{\frac{K_{i\bullet}(r)}{\pi}}
where K_{i\bullet}(r)
is the multitype K
-function
from points of type i
to points of any type.
See Kdot
for information
about K_{i\bullet}(r)
.
The command Ldot
first calls
Kdot
to compute the estimate of the i
-to-any
K
-function, and then applies the square root transformation.
For a marked Poisson point process,
the theoretical value of the L-function is
L_{i\bullet}(r) = r
.
The square root also has the effect of stabilising
the variance of the estimator, so that L_{i\bullet}
is more appropriate
for use in simulation envelopes and hypothesis tests.
An object of class "fv"
, see fv.object
,
which can be plotted directly using plot.fv
.
Essentially a data frame containing columns
r |
the vector of values of the argument |
theo |
the theoretical value |
together with columns named
"border"
, "bord.modif"
,
"iso"
and/or "trans"
,
according to the selected edge corrections. These columns contain
estimates of the function L_{i\bullet}
obtained by the edge corrections named.
and \rolf
Kdot
,
Lcross
,
Lest
L <- Ldot(amacrine, "off")
plot(L)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.