Hi Anneke,
Jim will answer, I am sure, if he's not away.
If I get your question right, I think that the two regressions have
always been there:
- One is shape distances computed pairwise in your sample (Procrustes vs
tangent space): with 10 individuals, you'll have 10*9/2=45 distances.
- The other one is the distance of each individual to the sample mean,
i.e. with N=10 the corresponding 10 distances.
It's two ways of looking whether the approximation in the tg space is
good. In my experience they produce highly congruent results. With the
second approach, however, it might be easier to spot if one or a few
individuals are strong outliers, and to be able to say which they are. I
am not advising this as a method to detect outliers but it's something
you'll see in some cases and maybe realize that there's a problem with
some individuals. For outliers, I use multiple strategies.
Cheers
Andrea
On 16/05/2022 09:23, Anneke van Heteren wrote:
Dear friends and colleagues,
I have a question regarding the report of tpsSmall. When doing an analysis,
the report displays two regression outputs with different slopes,
correlations and root MS errors (see attached for a simple example). Other
than those numbers, they are accompanied by the same text and I cannot tell
the difference. I do not remember it being like that before and the sample
report in the help file also only shows one regression output. I would very
much appreciate it if somebody could enlighten me on what both these
regressions mean and what their differences are.
Thank you in advance.
Best regards,
Anneke van Heteren
--
Dr. Andrea Cardini
Researcher, Dipartimento di Scienze Chimiche e Geologiche, Università di
Modena e Reggio Emilia, Via Campi, 103 - 41125 Modena - Italy
tel. 0039 059 4223140
Adjunct Associate Professor, Centre for Forensic Anthropology, The
University of Western Australia, 35 Stirling Highway, Crawley WA 6009,
Australia
E-mail address: [email protected], [email protected]
WEBPAGE: https://sites.google.com/view/alcardini2/
or https://tinyurl.com/andreacardini
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