default.dummy(X, nd, random=FALSE, ntile=NULL, npix=NULL, ..., verbose=FALSE)"ppp"
    or in a format recognised by as.ppp()nd * nd or nd[1] * nd[2]
    rectangular array of dummy points.TRUE, the dummy points are
    randomised.TRUE, information about the construction of the
    quadrature scheme is printed."ppp",
  see ppp.object) containing the dummy points.  A quadrature scheme consists of 
  the original data point pattern, an additional pattern of dummy points,
  and a vector of quadrature weights for all these points.
  See quad.object for further information about
  quadrature schemes.
  If random is false (the default),
  then the function creates dummy points
  in an nd[1] by nd[1] rectangular grid.
  If random is true, then the frame of the window is divided into
  an  nd[1] by nd[1] array of tiles, and one dummy point
  is generated at random inside each tile.
  In either case, the four corner points of the frame of the window
  are added. Then if the window is not rectangular, any dummy points
  lying outside it are deleted. 
  
  If nd is missing, 
  a default value (depending on the
  data pattern X) is computed by default.ngrid.
  Alternative functions for creating dummy patterns
  include corners,
  gridcentres,
  stratrand and
  spokes.
quad.object,
  quadscheme,
  corners,
  gridcentres,
  stratrand,
  spokesdata(simdat)
  P <- simdat
  D <- default.dummy(P, 100)
  plot(D)
  Q <- quadscheme(P, D, "grid")
  plot(union.quad(Q))Run the code above in your browser using DataLab