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Thread: Davidski's Global 25 nMonte results

  1. #81
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    Hi Łukasz, you would do me NMonte calculations

    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
    Lugius,0.0116,0.0128,0.018,0.0181,0.0119,0.0101,0. 0023,0.0057,-0.0005,-0.0124,-0.0043,-0.0041,0.0076,0.015,-0.0079,-0.0019,0.00

  2. #82
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    Quote Originally Posted by lukaszM View Post
    (...)
    Basque French is lower because you used nMonte3 or rather because you used scaled averages?

    I was using non-scaled averages before. Later today I will do some runs with scaled averages.

  3. #83
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    David just sent me this morning the G25 of my parents, and will kindly do mine, but before posting anything I would like to know which "nMonte" is going to become the "official", or "canonical" tool on this thread. nMonte2, or 3? scaled, or not scaled?
    En North alom, de North venom
    En North fum naiz, en North manom

    (Roman de Rou, Wace, 1160-1170)

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  5. #84
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    Quote Originally Posted by anglesqueville View Post
    David just sent me this morning the G25 of my parents, and will kindly do mine, but before posting anything I would like to know which "nMonte" is going to become the "official", or "canonical" tool on this thread. nMonte2, or 3? scaled, or not scaled?
    My understanding is that nMonte2 is better for people with mixed ancestry, while 3 might be slightly better for people with ancestry from one region (because it prefers populations which appear in "closest single item distances" also in "mixed mode").*

    And scaled averages are probably universally better than not scaled.

    *If someone is for example 50% Russian + 50% British, he will get East German 1st in single items. But when it comes to mixed mode, nMonte2 will show a mix of East Euro + NW Euro, while nMonte3 will show a mix of various Central Euro populations.
    Last edited by Tomenable; 02-14-2018 at 08:35 AM.

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  7. #85
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    Ancients nMonte3:

    Slav_Bohemia
    4.920053

    Alberstedt_LN
    6.216791

    Hungary_BA
    6.709232




    Code:
    [1] "distance%=2.2071"
    
    Slav_Bohemia,63.4
    Hungary_BA,8.8
    Baltic_BA,2.8
    Hungary_IA,2
    Armenia_ChL,1.8
    Anatolia_BA,1.6
    Vinca_MN,1.4
    Boncuklu_N,1.2
    Armenia_EBA,1
    Armenia_MLBA,1
    Barcin_N,1
    Levant_BA,1
    Anatolia_ChL,0.8
    Iran_LN,0.8
    Mentese_N,0.8
    Tisza_LN,0.8
    ALPc_MN,0.6
    Greece_N,0.6
    Greece_Peloponnese_N,0.6
    Iran_ChL,0.6
    Iran_IA,0.6
    LBK_EN,0.6
    Levant_N,0.6
    Tepecik_Ciftlik_N,0.6
    Tiszapolgar_ECA,0.6
    Baden_LCA,0.4
    Balaton_Lasinja_CA,0.4
    Iran_N,0.4
    Koros_EN,0.4
    LBKT_MN,0.4
    Minoan_Lasithi,0.4
    Mycenaean,0.4
    Protoboleraz_LCA,0.4
    CHG,0.2
    England_Roman_outlier,0.2
    Natufian,0.2
    Scythian_AldyBel,0.2
    Starcevo_EN,0.2
    TDLN,0.2
    Ancients nMonte2:

    Code:
    [1] "distance%=1.2184 / distance=0.012184"
                                   
    Baltic_BA                 37.85
    Anatolia_BA               14.55
    LBKT_MN                    9.65
    Slav_Bohemia               6.00
    Mentese_N                  5.90
    Vinca_MN                   5.90
    Srubnaya_outlier           4.85
    Poltavka                   4.60
    Koros_EN                   3.45
    Armenia_EBA                2.65
    Iran_IA                    2.00
    Scythian_AldyBel           1.60
    Mycenaean                  1.00
    Randwulf's model(nMonte3):

    Lithuanian
    9.535399

    Sardinian
    14.113083

    Georgian_Imer
    16.610687


    Code:
    [1] "distance%=2.5771"
    
    Lithuanian,55.4
    Sardinian,22.8
    Georgian_Imer,10.8
    BedouinB,2.4
    Mari,2.4
    Yemenite_Jew,2.4
    Saudi,2
    Makrani,1.6
    Ket,0.2
    nMonte2:

    Code:
    [1] "distance%=2.3513 / distance=0.023513"
                     
    Lithuanian    53.4
    Sardinian     23.0
    Georgian_Imer 17.4
    Saudi          4.2
    Ket            2.0
    Last edited by Просигој; 02-14-2018 at 08:47 AM.

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  9. #86
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    nMonte1 nMonte2 nMonte3.....scaled or not scaled
    are all experimental. How to know what is the best, what we prefer to see ?
    If we accept the idea that the qpAdm program is today the most accurate, we must compare our results with Them

    In my case my results posted in a previous post are very similar.


    Below, results for Tuscans
    a mix of Etruscan, coming from Anatolia and Celto-Italic IE


    [1] "distance%=1.4283"


    Italian_Tuscan


    Anatolia_ChL,43.2
    England_Roman,41.6
    Remedello_BA,15.2



    [1] "distance%=1.4909"


    Anatolia_ChL,44
    Bell_Beaker_Germany,41
    Remedello_BA,15

    Edit : Data not scaled (idem for my previous post)
    Last edited by Helgenes50; 02-14-2018 at 11:00 AM.
    My results from David Wesolowski's Ancestry Detective Service:

    West British (Britonic?) 42.3%
    Continental Northern and Eastern European 36.6%
    Central French 21.1%

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  11. #87
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    R1a > M198 > YP 1337

    Poland
    ...........
    Last edited by lukaszM; 02-14-2018 at 09:21 AM.

  12. #88
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    R1a > M198 > YP 1337

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    Quote Originally Posted by Tomenable View Post



    *If someone is for example 50% Russian + 50% British, he will get East German 1st in single items. But when it comes to mixed mode, nMonte2 will show a mix of East Euro + NW Euro, while nMonte3 will show a mix of various Central Euro populations.
    But if somebody is Eastern German nMonte2 still show him as 50% British + 50% Russian. Because it always seek for distant combinations similar to Dodecad oracle in mixed mode on Gedmatch.


    My understanding is that nMonte2 is better for people with mixed ancestry, while 3 might be slightly better for people with ancestry from one region (because it prefers populations which appear in "closest single item distances" also in "mixed mode").*

    At least in k36 it isn't true regarding Euro mixes. Only with continental mixes nMonte2 could be better sometimes (because of what I said above). I made hundred or more runs for various users in last weeks so this is from my experience.
    Last edited by lukaszM; 02-14-2018 at 09:23 AM.
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  13. #89
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    R1a > M198 > YP 1337

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    Quote Originally Posted by slowian88 View Post
    Hi Łukasz, you would do me NMonte calculations

    ,PC1,PC2,PC3,PC4,PC5,PC6,PC7,PC8,PC9,PC10,PC11,PC1 2,PC13,PC14,PC15,PC16,PC17,PC18,PC19,PC20,PC21,PC2 2,PC23,PC24,PC25
    Lugius,0.0116,0.0128,0.018,0.0181,0.0119,0.0101,0. 0023,0.0057,-0.0005,-0.0124,-0.0043,-0.0041,0.0076,0.015,-0.0079,-0.0019,0.00
    You have 17 values not 25
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  14. #90
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    Quote Originally Posted by lukaszM View Post
    But if somebody is Eastern German nMonte2 still show him as 50% British + 50% Russian.
    Which is not at all inaccurate, considering that Eastern Germans did not exist as a population before 1200 AD.

    If it models an East German as 50% Dutch + 50% Slavic, it just shows his ancestry from the last ~900 years.

    Origins of settlers in Mecklenburg & Pommern based on Helmold (mainly from Holland, Utrecht and Flanders):

    http://www.feudalismus.de/bauern.jpg

    Last edited by Tomenable; 02-14-2018 at 09:39 AM.

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