You should use:
plot(density(rmh(mod,new.coef=c(1,200
Sorry, my bad, typo in the example code.
(2) However, even when the correct call is given you still wind up
with identical densities!!!
Hm. I think this may be a bug; I'll will check with the other
authors of spatstat and repor
There was indeed a bug in rmh() w.r.t. the "new.coeff" argument.
The bug has been fixed and will not be present in the next release of
spatstat.
cheers,
Rolf Turner
On 16/09/14 16:30, Sebastian Schutte wrote:
Thanks so much for your comments. Sorry for not having sent a running
example from
OK. Two things are going wrong.
(1) There is an error in your code. You are passing the new.coef
argument to density() and not to rmh(). The function density() has no
such argument, but has a "..." argument, so "new.coef" simply gets ignored.
You should use:
plot(density(rmh(mod,new.coef=
Thanks so much for your comments. Sorry for not having sent a running
example from the start. Here it is:
library (spatstat)
#Load example data
data(demopat)
#Generate a random point pattern within the polygon
set.seed(12345)
pdat <- rpoint(200,win=demopat$window)
#Generate a distmap, which wi
Your example is not reproducible. We don't have "cshape" or "im.pop"
(and are possibly lacking other bits and pieces; I didn't check the
details since the example fails to run from the get-go). Please provide
a *reproducible* example.
Also I am puzzled by the line
mod <- ppm (ppp, ~ pop
Dear R and spatstat developers,
Thanks so much for the time and effort that you invest into this awesome
software. I have a problem simulating from a Point Process Model in
spatstat. In summary, the option "new.coef" should allow me to use a
fitted model and change its beta coefficients before
Dear R and spatstat developers,
Thanks so much for the time and effort that you invest into this awesome
software. I have a problem simulating from a Point Process Model in
spatstat. In summary, the option "new.coef" should allow me to use a
fitted model and change its beta coefficients before
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