DIYABC: Pre-evaluation of scenarios
Federica Lucati
I’m looking for an advice regarding the results I recently got from the pre-evaluation step in DIYABC 2.1 and I would be really grateful if you could find some time to help me.
I have built 4 different scenarios and ran the pre-evaluation analysis to see if my observed data set was close enough to the simulated ones. I have repeted the analysis several times and adjusted both parameters and mutation models of the genetic markers, but I’m still getting some stars for quite a few summary statistics, although the PCA shows that the observed data set is positioned well within the cloud of simulated data sets.
So I was wondering if this result is acceptable and I can proceed with further ABC analyses? If not, is there a way to solve this?
Attached you can find the DIYABC header file detailing the scenarios and parameters used, as well as the summary statistics and the PCA resulting from the pre-evaluation analysis.
The tested scenarios are composed of 3 genetic clusters and 2 types of genetic markers: 16 nuclear microsatellites and 1 mitochondrial marker. Preliminary analyses confirmed the validity of the 3 genetic clusters under study.
I’d be really thankful if you could take a look at my data.
I hope to hear from you soon!
Federica
