i to any type)
  for a multitype point pattern.Ldot(X, i, ...)X from which distances are measured.Kdot."fv", see fv.object,
  which can be plotted directly using plot.fv.Essentially a data frame containing columns
"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.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.
Kdot,
  Lcross,
  Lestdata(amacrine)
 L <- Ldot(amacrine, "off")
 plot(L)Run the code above in your browser using DataLab