"envelope"
),
compute another envelope from the same simulation data
using different parameters.## S3 method for class 'envelope':
envelope(Y, fun = NULL, ...,
transform=NULL, global=FALSE, VARIANCE=FALSE)
"envelope"
).envelope
."envelope"
. The function envelope
is generic. This is the method for
the class "envelope"
.
The argument Y
should be a simulation envelope (object of
class "envelope"
) produced by any of the methods for
envelope
. Additionally, Y
must contain either
Y
should have been created by callingenvelope
withsavepatterns=TRUE
);Y
should have been created by callingenvelope
withsavefuns=TRUE
). If the argument fun
is given, it should be a summary function
that can be applied to the simulated point patterns that were
used to create Y
. The envelope of
the summary function fun
for these point patterns
will be computed using the parameters specified in ...
.
If fun
is not given, then:
Y
contains the summary functions that were used to
compute the original envelope, then the new envelope will be
computed from these original summary functions.Y
contains the simulated point patterns.
then the$K$functionKest
will be applied to
each of these simulated point patterns, and the new envelope will
be based on the$K$functions....
. See envelope
for a full list of envelope parameters.
Frequently-used parameters include nrank
and nsim
(to change the
number of simulations used and the significance level of the
envelope), global
(to change from pointwise to global
envelopes) and VARIANCE
(to compute the envelopes from the sample
moments instead of the ranks).
envelope
data(cells)
E <- envelope(cells, Kest, nsim=19, savefuns=TRUE, savepatterns=TRUE)
E2 <- envelope(E, nrank=2)
Eg <- envelope(E, global=TRUE)
EG <- envelope(E, Gest)
EL <- envelope(E, transform=expression(sqrt(./pi)))
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