"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
Yshould have been created by callingenvelopewithsavepatterns=TRUE);Yshould have been created by callingenvelopewithsavefuns=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:
Ycontains the summary functions that were used to
compute the original envelope, then the new envelope will be
computed from these original summary functions.Ycontains the simulated point patterns.
then the$K$functionKestwill 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).
envelopedata(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)))Run the code above in your browser using DataLab