Post nMonte K13 results

[Gründig]

Had someone do this for me and I'm assuming they used the whole population data sheet. I would like to have it done with only 4-5 populations.

Here is everything 1 and above:

West_German South_Dutch Austrian East_German North_German French
0.3901679 0.5222337 0.6044510 0.8247824 0.9332004 0.9721312
Southeast_English Hungarian Danish North_Dutch
1.1061370 1.1110090 1.1745510 1.1901949

"distance%=0.1088"

West_German,39.4
South_Dutch,9.2
Austrian,4.2
North_German,3.8
East_German,3.2
Norwegian,3.2
Southwest_English,2.2
North_Dutch,2
Hungarian,1.8
Irish,1.8
Spanish_Cataluna,1.8
South_Polish,1.6
West_Scottish,1.6
Romanian,1.2
Belorussian,1
French,1
Lithuanian,1
Moldavian,1
Orcadian,1

[FilhoV]

[1] "distance%=1.6307 / distance=0.016307"

_scaled

Spanish_Andalucia 75.10
Sicilian_East 8.70
Portuguese 7.70
Italian_Bergamo 6.55
Yoruba 1.95

[Gründig]

[1] "distance%=1.6307 / distance=0.016307"

_scaled

Spanish_Andalucia 75.10
Sicilian_East 8.70
Portuguese 7.70
Italian_Bergamo 6.55
Yoruba 1.95

I see it says "scaled". Are these your global 25 scaled coordinates?

[FilhoV]

I see it says "scaled". Are these your global 25 scaled coordinates?

Yes. I played with it and got some other runs.

distance%=2.9898"

FilhoV _scaled

LBK_N,57.6
Yamnaya_Samara,30.4
Iberomaurusian,6.8
WHG,5.2



"distance%=2.0901"

FilhoV _scaled

Italian_Tuscan,42.4
Iberia_BA,28.6
England_Roman,15.6
Mozabite,13.4

[Raizen]

this one looks good

[1] "distance%=2.0751"

Central_Portuguese,78.4
Yoruban,12
South_Italian,5.6
North_Amerindian,4

[Gründig]

Yes. I played with it and got some other runs.

distance%=2.9898"

FilhoV _scaled

LBK_N,57.6
Yamnaya_Samara,30.4
Iberomaurusian,6.8
WHG,5.2



"distance%=2.0901"

FilhoV _scaled

Italian_Tuscan,42.4
Iberia_BA,28.6
England_Roman,15.6
Mozabite,13.4

Have you tried it with your eurogenes K13 results?

[oszkar07]

Much appreciation if someone could do mine ...

# Population Percent
1 North_Atlantic 38.91
2 Baltic 31.04
3 West_Med 12.32
4 East_Med 8.99
5 West_Asian 4.7
6 Siberian 2.29
7 Red_Sea 1.68
8 Oceanian 0.07

[Sp_loa]

Can someone please please please do it for me?

North_Atlantic 13.12
Baltic 2.57
West_Med 19.73
West_Asian 12.38
East_Med 36.28
Red_Sea 9.72
South_Asian -
East_Asian -
Siberian -
Amerindian 0.19
Oceanian -
Northeast_African 2.26
Sub-Saharan 3.71

[FilhoV]

Have you tried it with your eurogenes K13 results?

I have not do you know how to them?

Population
North_Atlantic 37.18
Baltic 9.47
West_Med 26.89
West_Asian 3.35
East_Med 14.93
Red_Sea 3.30
South_Asian -
East_Asian -
Siberian -
Amerindian -
Oceanian 0.24
Northeast_African 2.45
Sub-Saharan 2.20

[Adam Janossy]

Population Value

Moldavian 29.4
Croatian 22.6
Hungarian 13.8
Austrian 7.2
East_German 3.6
South_Polish 3.6
Ukrainian 2.2
Ukrainian_Belgorod 1.4
West_German 1.4
Bulgarian 1.2
Southwest_French 1.2
Norwegian 0.8
Romanian 0.8
Turkish 0.8
Abhkasian 0.6
Danish 0.6
North_German 0.6
Oetzi 0.6
Sardinian 0.6
Spanish_Aragon 0.6
Spanish_Cataluna 0.6
Swedish 0.6
South_Dutch 0.4
Southeast_English 0.4
Spanish_Castilla_La_Mancha 0.4
Ukrainian_Lviv 0.4
West_Scottish 0.4
Balochi 0.2
Chechen 0.2
French_Basque 0.2
Georgian 0.2
Icelandic 0.2
Irish 0.2
Kabardin 0.2
Kumyk 0.2
Lezgin 0.2
Nogay 0.2
North_Ossetian 0.2
Ossetian 0.2
Polish 0.2
Southwest_English 0.2
Spanish_Andalucia 0.2
Spanish_Cantabria 0.2

Closest population distance

Hungarian 0.5731885
Croatian 0.6169596
Moldavian 0.6337302
Serbian 0.886137
Austrian 0.9000566
East_German 0.9733955
South_Polish 1.2341084
Ukrainian_Lviv 1.2404499

[Lemgrant]

with some components removed from the spreadsheet

pen=0

[1] "1. CLOSEST SINGLE ITEM DISTANCE%"

1. Ukrainian 2.789480


[1] "distance%=1.45"

X

Ukrainian,46.2
Lithuanian,30
Erzya,8.8
Estonian_Polish,8
Southwest_French,3.6
Algerian_Jewish,3.4

[Lemgrant]

Had someone do this for me and I'm assuming they used the whole population data sheet. I would like to have it done with only 4-5 populations.



download files for R tool https://uploadfiles.io/ep9m7

open csv file with notepad and delete the populations you want

nMonte files: https://www.dropbox.com/sh/1iaggxyc2alafow/AACIjLtnkuaNNsJ5oKME_3XHa?dl=0