Post your Global25 modern and ancient

[Gründig]

These are some modern populations i had run for me:

Unscaled coordinates

[1] "1. CLOSEST SINGLE ITEM DISTANCE%"
German:Germany23 German:Germany13 Swedish:Sweden5 Shetlandic:Shetlands2 Austrian:Austria2 Swedish:Sweden13 Swedish:Sweden7
1.831256 1.989447 2.043649 2.064921 2.108127 2.123205 2.178256
Swedish:Sweden4
2.237432



I was told a distance between 0.5% and 1% as ideal for this particular model.

[1] "2. FULL TABLE nMONTE"
[1] "penalty= 0.001"
[1] "Ncycles= 1000"
"distance%=0.9316"

German,44
Swedish,21.2
Shetlandic,19.6
Austrian,6.2
Moldovan,4.8
Albanian,3
Ju_hoan_North,1.2



Same references with Gradient Descent as the modeler:

distance: 0.008327697

Shetlandic 0.3018086850643158
German 0.26132337749004364
Swedish 0.20823854207992554
Albanian 0.10205105692148209
Moldovan 0.06890910118818283
Austrian 0.04614282771945
Ju_hoan_North 0.01152641512453556


These are some ancient populations i had run for me:

"distance%=2.6105"

S_scaled

Germany_Medieval,55 (Germanic)
Italian_Tuscan,24.6 (Possibly Roman or Celtic)
England_Roman,11.2 (Celtic)
Slavic_Bohemia,9.2 (Slavic)


Pretty cool results. I seem to be a mix of around half Germanic with smaller amounts of celtic, slavic and possibly roman. As far as my paper trail goes, it makes sense. I ran some similar tests using Poi's online nmonte calculator and combinations alone these lines seemed to be the best fit.

Tuscan was used because there isn't a proper sample from the medieval or roman time period in my case. So it was used to show the southern pull. It's difficult to know exactly what it is without Roman and Roman era South German Celt samples.

I seem to score small amounts of african using davids coordinates. Seems to be noise but who knows.




Thanks to Aren and Randwulf for all the help and explanations.

[Gründig]

Edit.

[Gründig]

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[Gründig]

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[Gründig]

I finally figured out how to run nMonte on R. Did some more ancient runs, I seem to be closest to the German_medieval population.
When it's added in to the full table nMonte, i typically score between 34-55% of it, with the rest being celtic and some slavic.

Anyone have anymore information on the Germany_medieval, Nordic_IA and Germany_Roman populations?

[J. Ketch]

I finally figured out how to run nMonte on R. Did some more ancient runs, I seem to be closest to the German_medieval population.
When it's added in to the full table nMonte, i typically score between 34-55% of it, with the rest being celtic and some slavic.

Anyone have anymore information on the Germany_medieval, Nordic_IA and Germany_Roman populations?
Germany Medieval was apparently from Bavaria but clusters more with NW Germans. Germany Roman was some mix I think, Celt+Balkan/Med perhaps. You can check any sample against all the other populations.

[Gründig]

Germany Medieval was apparently from Bavaria but clusters more with NW Germans. Germany Roman was some mix I think, Celt+Balkan/Med perhaps. You can check any sample against all the other populations.

Germany_medieval does cluster more north. I found out it clusters with the Germanics. I asked David about Germany_roman and it seems to be something like a Balkan, Celtic and Germanic mix.

How do I check samples against each other? What do you mean?

[J. Ketch]

Germany_medieval does cluster more north. I found out it clusters with the Germanics. I asked David about Germany_roman and it seems to be something like a Balkan, Celtic and Germanic mix.

How do I check samples against each other? What do you mean?
Cut and paste the sample you want to check from the datasheet and put it in a new text file as the target, then compare it against the rest of the data, or whatever populations you want, using the same process as you do with your own values.

[Gründig]

edit

[Dick]

I finally figured out how to run nMonte on R. Did some more ancient runs, I seem to be closest to the German_medieval population.
When it's added in to the full table nMonte, i typically score between 34-55% of it, with the rest being celtic and some slavic.

Anyone have anymore information on the Germany_medieval, Nordic_IA and Germany_Roman populations?

Who are the beaker central europe?

[Rædwald]

Can someone run my numbers? I'm running on a Chromebook.

[Gründig]

I have more accurate results posted on another thread. The guy who ran some of mine (that I posted here) did something wrong.


Who are the beaker central europe?

I'm not positive.


Can someone run my numbers? I'm running on a Chromebook.

I could try some runs. What is your known ancestry again?

[Dick]

I have more accurate results posted on another thread. The guy who ran some of mine (that I posted here) did something wrong.



I'm not positive.



i found this


https://upload.wikimedia.org/wikipedia/commons/thumb/2/22/Beaker_culture_diffusion.svg/383px-Beaker_culture_diffusion.svg.png

[Rædwald]

I have more accurate results posted on another thread. The guy who ran some of mine (that I posted here) did something wrong.



I'm not positive.



I could try some runs. What is your known ancestry again?


Admix Results (sorted):

# Population Percent
1 North_Atlantic 46.18
2 Baltic 23.69
3 West_Med 15.10
4 East_Med 5.80
5 West_Asian 3.03
6 Amerindian 2.96
7 South_Asian 2.36


Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 South_Dutch @ 5.353105
2 Southeast_English @ 5.480463
3 West_German @ 6.434713
4 Orcadian @ 7.436590
5 Southwest_English @ 7.763347
6 Danish @ 8.012472
7 North_German @ 8.031129
8 North_Dutch @ 8.192939
9 Irish @ 8.955364
10 West_Scottish @ 9.330926
11 Norwegian @ 10.385622
12 French @ 10.543631
13 Swedish @ 11.328071
14 Austrian @ 12.474174
15 East_German @ 13.010546
16 North_Swedish @ 16.149612
17 Hungarian @ 17.553049
18 Spanish_Cataluna @ 18.400173
19 Southwest_French @ 19.503391
20 Spanish_Galicia @ 19.630911

Using 2 populations approximation:
1 50% French +50% Swedish @ 4.090635


Using 3 populations approximation:
1 50% Danish +25% Spanish_Valencia +25% Swedish @ 3.485053

[Gründig]

Admix Results (sorted):

# Population Percent
1 North_Atlantic 46.18
2 Baltic 23.69
3 West_Med 15.10
4 East_Med 5.80
5 West_Asian 3.03
6 Amerindian 2.96
7 South_Asian 2.36


Finished reading population data. 204 populations found.
13 components mode.

--------------------------------

Least-squares method.

Using 1 population approximation:
1 South_Dutch @ 5.353105
2 Southeast_English @ 5.480463
3 West_German @ 6.434713
4 Orcadian @ 7.436590
5 Southwest_English @ 7.763347
6 Danish @ 8.012472
7 North_German @ 8.031129
8 North_Dutch @ 8.192939
9 Irish @ 8.955364
10 West_Scottish @ 9.330926
11 Norwegian @ 10.385622
12 French @ 10.543631
13 Swedish @ 11.328071
14 Austrian @ 12.474174
15 East_German @ 13.010546
16 North_Swedish @ 16.149612
17 Hungarian @ 17.553049
18 Spanish_Cataluna @ 18.400173
19 Southwest_French @ 19.503391
20 Spanish_Galicia @ 19.630911

Using 2 populations approximation:
1 50% French +50% Swedish @ 4.090635


Using 3 populations approximation:
1 50% Danish +25% Spanish_Valencia +25% Swedish @ 3.485053

Ah sorry, I meant global25 coordinates