Not exactly: another user-friendly option is the 'old Morpheus et
al.', which estimates missing landmarks (with coordinates, for
instance, coded in NTS as - - -, for each 3D landmark)
using mean substitution, regression, tps or mirror reflection. The
last option is a bit more
MorphoJ handles missing landmarks, but I don't think it has a function to
estimate them. SO without an estimation of your landmark position, your options
are either to drop the sample from the analysis (if you want to retain full set
of landmarks) or to remove the landmark from your analysis
On Thursday, August 11, 2016 at 4:06:01 PM UTC-4, Jade Racine wrote:
> Dear all,
>
>
>
> I digitized 108 craniofacial landmarks on human skulls
> from an archaeological context using a MicroScribe G2X. I have a lot of random
> missing values due to postmortem damage. I am currently trying to
