hzar.dataGroup.add: Prepare optimizer output for analysis.
In hzar: Hybrid Zone Analysis using R

Description Usage Arguments Value Note Author(s) See Also Examples

Intended to group multiple fits of the same model and the same observation data into a single object. As it works with hzar.fitRequest objects, it is simpler to use than hzar.make.dataGroup.

1 2	hzar.dataGroup.add(dataGroup, fitRequestL = list(), doPar = FALSE) hzar.fit2DataGroup(fitRequest, doPar = FALSE)

`dataGroup`	A single `hzar.dataGroup` object to update. If `fitRequestL` is a list of length 0, this argument may also be a list of `hzar.fitRequest` or `hzar.dataGroup` objects.
`fitRequestL`	A `hzar.fitRequest` or `hzar.dataGroup` object, a list of such objects, or a deep list of such objects.
`fitRequest`	A single `hzar.fitRequest` object. A `hzar.dataGroup` object may also be used.
`doPar`	This is argument is passed to `hzar.eval.clineLL`.

A hzar.dataGroup object.

A deep list of T is a list of length greater > 1 that contains only deep lists of T or objects of class T.

Graham Derryberry asterion@alum.mit.edu

hzar.fitRequest hzar.dataGroup hzar.obsDataGroup

data(manakinMolecular);
mknAdaA <-
  hzar.doMolecularData1DPops(manakinMolecular$distance,
                             manakinMolecular$ada.A,
                             manakinMolecular$ada.nSamples);
mknAdaAmodel <-
  hzar.makeCline1DFreq(mknAdaA, scaling="fixed",tails="none");
mknAdaAmodel <-
  hzar.model.addBoxReq(mknAdaAmodel, -30, 600)
mknAdaAmodelFit <-
   hzar.first.fitRequest.old.ML(model=mknAdaAmodel ,
                                mknAdaA,
                                verbose=FALSE);
mknAdaAmodelFit$mcmcParam$chainLength <- 1e3;
mknAdaAmodelFit$mcmcParam$burnin <- 5e2;
mknAdaAFit <- hzar.doFit(mknAdaAmodelFit);
str(hzar.fit2DataGroup(mknAdaAFit));