"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).
envelopeE <- 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