1- the vignette mentions starting estimates is the place to start to improve fitting, yet I have no idea how I would pick a value for the pEst function? I don't understand what parameter to choose here, and on what basis.
I am using data on animals that do not migrate but can disperse anytime of the year. Nevertheless I have split the data for each year, for each animal, using April 15th as the start of the biological year. There is as such a burst for each animal in each year we have data for that animal.
2- plotting the mvmt object does not work for me, I get the error:
_class(nsd)
[1] "mvmts" "list"
plot(nsd)
Error in xy.coords(x, y, xlabel, ylabel, log) :
'x' is a list, but does not have components 'x' and 'y'__
When trying to plot an individual burst I get the following error:
> plot(nsd[[100]])
Error in as.double(y) :
cannot coerce type 'S4' to vector of type 'double'
1- the vignette mentions starting estimates is the place to start to improve fitting, yet I have no idea how I would pick a value for the pEst function? I don't understand what parameter to choose here, and on what basis.
I am using data on animals that do not migrate but can disperse anytime of the year. Nevertheless I have split the data for each year, for each animal, using April 15th as the start of the biological year. There is as such a burst for each animal in each year we have data for that animal.
2- plotting the mvmt object does not work for me, I get the error: _class(nsd) [1] "mvmts" "list" plot(nsd) Error in xy.coords(x, y, xlabel, ylabel, log) : 'x' is a list, but does not have components 'x' and 'y'__
When trying to plot an individual burst I get the following error: > plot(nsd[[100]]) Error in as.double(y) : cannot coerce type 'S4' to vector of type 'double'