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Problem with v54.1.p1_1240k_public.geno
Genetics189291 Offline
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#16
10-26-2024, 08:44 PM
(10-26-2024, 08:30 PM)Jalisciense Wrote:
(10-26-2024, 08:23 PM)Genetics189291 Wrote:
(10-26-2024, 06:06 PM)Jalisciense Wrote: I think so bro, RAM: 5187 MB, processors/CPU: 2 and using the Terminal Super User Mode:

[Image: tAMW4gy.jpg]

That’s strange try using the other and you need to give more ram you can adjust it in the settings

Yes bro, because qpAdm seems to be good installed:

[Image: nFGLUpO.jpg]

And this is my bin folder:

[Image: weBkw9m.jpg]

Or do you see something wrong there?

More RAM, well, I could try it but beyond that is in orange-red, still I am going to give it 7000 MB.

[Image: 7VOrvuS.png]

Try to get it up to 7gb if you can
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Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#17
10-26-2024, 08:53 PM
(10-26-2024, 08:44 PM)Genetics189291 Wrote:
(10-26-2024, 08:30 PM)Jalisciense Wrote:
(10-26-2024, 08:23 PM)Genetics189291 Wrote: That’s strange try using the other and you need to give more ram you can adjust it in the settings

Yes bro, because qpAdm seems to be good installed:

[Image: nFGLUpO.jpg]

And this is my bin folder:

[Image: weBkw9m.jpg]

Or do you see something wrong there?

More RAM, well, I could try it but beyond that is in orange-red, still I am going to give it 7000 MB.

[Image: 7VOrvuS.png]

Try to get it up to 7gb if you can

Yes, I could give it until 7051 MB, beyond that the Virtual machine do not let me save the changes:

[Image: HFb0ctx.png]
Maternal grandpa's mtDNA: L1b1a

23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA & 3.2% Unassigned
AncestryDNA: 55% Europe/Sephardic Jew, 38% Indigenous Americas-Mexico, 4% MENA & 3% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa & <1% Eastern India
Living DNA: 63.3% West Iberia, 34.4% Native Americas & 2.3% Yorubaland
MyHeritage DNA: 77.5% Mexico, 21.4% Iberian & 1.1% Moroccan

qpAdm
taildiff: 0.959427
60.1% Iberian ± 1.9%, 34% Native American ± 1.9% & 5.8% African ± 0.9%
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Genetics189291 Offline
Senior Member
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Posts: 503
Threads: 72
Joined: Nov 2023
Gender: Male
Ethnicity: Arab
#18
10-26-2024, 09:02 PM
(10-26-2024, 08:53 PM)Jalisciense Wrote:
(10-26-2024, 08:44 PM)Genetics189291 Wrote:
(10-26-2024, 08:30 PM)Jalisciense Wrote: Yes bro, because qpAdm seems to be good installed:

[Image: nFGLUpO.jpg]

And this is my bin folder:

[Image: weBkw9m.jpg]

Or do you see something wrong there?

More RAM, well, I could try it but beyond that is in orange-red, still I am going to give it 7000 MB.

[Image: 7VOrvuS.png]

Try to get it up to 7gb if you can

Yes, I could give it until 7051 MB, beyond that the Virtual machine do not let me save the changes:

[Image: HFb0ctx.png]

Okay do that and try again
Find
Reply
Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#19
10-26-2024, 09:03 PM (This post was last modified: 10-26-2024, 09:05 PM by Jalisciense.)
@Genetics189291

Bro, I gave it 7051 MB and I am try to run pasting the command cd bin and later qpAdm -p parqpAdm >p

But now it is different, it taking so long, and it says the Oracle virtual box is not responding:

[Image: eWfZ15q.jpg]
Maternal grandpa's mtDNA: L1b1a

23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA & 3.2% Unassigned
AncestryDNA: 55% Europe/Sephardic Jew, 38% Indigenous Americas-Mexico, 4% MENA & 3% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa & <1% Eastern India
Living DNA: 63.3% West Iberia, 34.4% Native Americas & 2.3% Yorubaland
MyHeritage DNA: 77.5% Mexico, 21.4% Iberian & 1.1% Moroccan

qpAdm
taildiff: 0.959427
60.1% Iberian ± 1.9%, 34% Native American ± 1.9% & 5.8% African ± 0.9%
Find
Reply
Genetics189291 Offline
Senior Member
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Posts: 503
Threads: 72
Joined: Nov 2023
Gender: Male
Ethnicity: Arab
#20
10-26-2024, 09:05 PM
(10-26-2024, 09:03 PM)Jalisciense Wrote: @Genetics189291

Bro, I am try to run pasting the command cd bin and later qpAdm -p parqpAdm >p

But now it is different, it taking so long, and it says the Oracle virtual box is not respondig:

[Image: eWfZ15q.jpg]

It should be taking a while I got 14gb and it takes me a while about 10 minutes to calculate every model
Find
Reply
Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#21
10-26-2024, 09:12 PM
(10-26-2024, 09:05 PM)Genetics189291 Wrote:
(10-26-2024, 09:03 PM)Jalisciense Wrote: @Genetics189291

Bro, I am try to run pasting the command cd bin and later qpAdm -p parqpAdm >p

But now it is different, it taking so long, and it says the Oracle virtual box is not respondig:

[Image: eWfZ15q.jpg]

It should be taking a while I got 14gb and it takes me a while about 10 minutes to calculate every model

[Image: dIOnCUC.jpg]
Maternal grandpa's mtDNA: L1b1a

23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA & 3.2% Unassigned
AncestryDNA: 55% Europe/Sephardic Jew, 38% Indigenous Americas-Mexico, 4% MENA & 3% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa & <1% Eastern India
Living DNA: 63.3% West Iberia, 34.4% Native Americas & 2.3% Yorubaland
MyHeritage DNA: 77.5% Mexico, 21.4% Iberian & 1.1% Moroccan

qpAdm
taildiff: 0.959427
60.1% Iberian ± 1.9%, 34% Native American ± 1.9% & 5.8% African ± 0.9%
Find
Reply
Genetics189291 Offline
Senior Member
*******
Posts: 503
Threads: 72
Joined: Nov 2023
Gender: Male
Ethnicity: Arab
#22
10-26-2024, 09:15 PM
(10-26-2024, 09:12 PM)Jalisciense Wrote:
(10-26-2024, 09:05 PM)Genetics189291 Wrote:
(10-26-2024, 09:03 PM)Jalisciense Wrote: @Genetics189291

Bro, I am try to run pasting the command cd bin and later qpAdm -p parqpAdm >p

But now it is different, it taking so long, and it says the Oracle virtual box is not respondig:

[Image: eWfZ15q.jpg]

It should be taking a while I got 14gb and it takes me a while about 10 minutes to calculate every model

[Image: dIOnCUC.jpg]

Try to lower it to 6gb of ram and see if it’s killing the process it’s due to not enough ram it used to happen to me
Find
Reply
Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#23
10-26-2024, 09:36 PM (This post was last modified: 10-26-2024, 09:36 PM by Jalisciense.)
(10-26-2024, 09:15 PM)Genetics189291 Wrote:
(10-26-2024, 09:12 PM)Jalisciense Wrote:
(10-26-2024, 09:05 PM)Genetics189291 Wrote: It should be taking a while I got 14gb and it takes me a while about 10 minutes to calculate every model

[Image: dIOnCUC.jpg]

Try to lower it to 6gb of ram and see if it’s killing the process it’s due to not enough ram it used to happen to me

You are the best bro! Lowering until 6000 MB was the solution, the process wasn't kill and I was able to run it without problems (Besides it gave the results so fast).

Thanks for taking all these days helping me and guiding me!



read 1073741824 bytes
read 2147483648 bytes
read 3221225472 bytes
read 4294967296 bytes
read 5052887274 bytes
packed geno read OK
end of inpack

left pops:
Irula.DG 2
ONG.SG 6
Iran_GanjDareh_N 10

right pops:
Mbuti.DG 14
Russia_MLBA_Sintashta 36
Russia_Karelia_HG 2
Russia_Tyumen_HG 1
Turkey_N 33

jackknife block size: 0.050
snps: 1150555 indivs: 104
number of blocks for block jackknife: 714
## ncols: 1150555
coverage: Irula.DG 1121357
coverage: ONG.SG 1143397
coverage: Iran_GanjDareh_N 1057033
coverage: Mbuti.DG 1149711
coverage: Russia_MLBA_Sintashta 1128313
coverage: Russia_Karelia_HG 1010658
coverage: Russia_Tyumen_HG 805560
coverage: Turkey_N 1139051
Effective number of blocks: 631.013
numsnps used: 837051
codimension 1
f4info:
f4rank: 1 dof: 3 chisq: 15.769 tail: 0.00126461691 dofdiff: 5 chisqdiff: -15.769 taildiff: 1
B:
scale 1.000
Russia_MLBA_Sintashta 1.224
Russia_Karelia_HG 0.662
Russia_Tyumen_HG 0.554
Turkey_N 1.325
A:
scale 497.632
ONG.SG -0.928
Iran_GanjDareh_N 1.068


full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 15.769 taildiff: 0.00126461691
B:
scale 452.616 525.890
Russia_MLBA_Sintashta -1.194 1.204
Russia_Karelia_HG -0.925 0.388
Russia_Tyumen_HG -0.711 0.357
Turkey_N -1.101 1.508
A:
scale 1.414 1.414
ONG.SG 1.414 0.000
Iran_GanjDareh_N 0.000 1.414


best coefficients: 0.535 0.465
Jackknife mean: 0.534692365 0.465307635
std. errors: 0.037 0.037

error covariance (* 1,000,000)
1342 -1342
-1342 1342


summ: Irula.DG 2 0.001265 0.535 0.465 1342 -1342 1342

fixed pat wt dof chisq tail prob
00 0 3 15.769 0.00126462 0.535 0.465
01 1 4 126.905 1.78684e-26 1.000 0.000
10 1 4 192.397 0 0.000 1.000
best pat: 00 0.00126462 - -
best pat: 01 1.78684e-26 chi(nested): 111.136 p-value for nested model: 5.52351e-26

coeffs: 0.535 0.465

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details: ONG.SG Russia_MLBA_Sintashta -0.002638 -10.793996
details: Iran_GanjDareh_N Russia_MLBA_Sintashta 0.002289 10.157613
dscore: Russia_MLBA_Sintashta f4: -0.000347 Z: -1.791321

details: ONG.SG Russia_Karelia_HG -0.002044 -5.769332
details: Iran_GanjDareh_N Russia_Karelia_HG 0.000737 2.211450
dscore: Russia_Karelia_HG f4: -0.000751 Z: -2.654374

details: ONG.SG Russia_Tyumen_HG -0.001571 -4.255674
details: Iran_GanjDareh_N Russia_Tyumen_HG 0.000679 1.915042
dscore: Russia_Tyumen_HG f4: -0.000525 Z: -1.740686

details: ONG.SG Turkey_N -0.002433 -9.818181
details: Iran_GanjDareh_N Turkey_N 0.002867 12.421330
dscore: Turkey_N f4: 0.000031 Z: 0.154663

gendstat: Mbuti.DG Russia_MLBA_Sintashta -1.791
gendstat: Mbuti.DG Russia_Karelia_HG -2.654
gendstat: Mbuti.DG Russia_Tyumen_HG -1.741
gendstat: Mbuti.DG Turkey_N 0.155
gendstat: Russia_MLBA_Sintashta Russia_Karelia_HG -1.732
gendstat: Russia_MLBA_Sintashta Russia_Tyumen_HG -0.732
gendstat: Russia_MLBA_Sintashta Turkey_N 3.278
gendstat: Russia_Karelia_HG Russia_Tyumen_HG 0.723
gendstat: Russia_Karelia_HG Turkey_N 3.041
gendstat: Russia_Tyumen_HG Turkey_N 2.030

worst Z-score with right hand mix
f4(Target, Fit, Base, mix of Right pops; Z: -3.977 sum: 1.000
Russia_MLBA_Sintashta 3.316
Russia_Karelia_HG 1.209
Russia_Tyumen_HG 0.239
Turkey_N -3.764

oldmode set: terminating
##end of qpAdm: 54.258 seconds cpu 1132.585 Mbytes in use
Maternal grandpa's mtDNA: L1b1a

23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA & 3.2% Unassigned
AncestryDNA: 55% Europe/Sephardic Jew, 38% Indigenous Americas-Mexico, 4% MENA & 3% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa & <1% Eastern India
Living DNA: 63.3% West Iberia, 34.4% Native Americas & 2.3% Yorubaland
MyHeritage DNA: 77.5% Mexico, 21.4% Iberian & 1.1% Moroccan

qpAdm
taildiff: 0.959427
60.1% Iberian ± 1.9%, 34% Native American ± 1.9% & 5.8% African ± 0.9%
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Genetics189291 Offline
Senior Member
*******
Posts: 503
Threads: 72
Joined: Nov 2023
Gender: Male
Ethnicity: Arab
#24
10-26-2024, 09:39 PM
(10-26-2024, 09:36 PM)Jalisciense Wrote:
(10-26-2024, 09:15 PM)Genetics189291 Wrote:
(10-26-2024, 09:12 PM)Jalisciense Wrote: [Image: dIOnCUC.jpg]

Try to lower it to 6gb of ram and see if it’s killing the process it’s due to not enough ram it used to happen to me

You are the best bro! Lowering until 6000 MB was the solution, the process wasn't kill and I was able to run it without problems (Besides it gave the results so fast).

Thanks for taking all these days helping me and guiding me!



read 1073741824 bytes
read 2147483648 bytes
read 3221225472 bytes
read 4294967296 bytes
read 5052887274 bytes
packed geno read OK
end of inpack

left pops:
            Irula.DG      2
              ONG.SG      6
    Iran_GanjDareh_N    10

right pops:
            Mbuti.DG    14
Russia_MLBA_Sintashta    36
  Russia_Karelia_HG      2
    Russia_Tyumen_HG      1
            Turkey_N    33

jackknife block size:    0.050
snps: 1150555  indivs: 104
number of blocks for block jackknife: 714
## ncols: 1150555
coverage:            Irula.DG 1121357
coverage:              ONG.SG 1143397
coverage:    Iran_GanjDareh_N 1057033
coverage:            Mbuti.DG 1149711
coverage: Russia_MLBA_Sintashta 1128313
coverage:    Russia_Karelia_HG 1010658
coverage:    Russia_Tyumen_HG 805560
coverage:            Turkey_N 1139051
Effective number of blocks:  631.013
numsnps used: 837051
codimension 1
f4info:
f4rank: 1 dof:      3 chisq:    15.769 tail:        0.00126461691 dofdiff:      5 chisqdiff:  -15.769 taildiff:                    1
B:
          scale    1.000
Russia_MLBA_Sintashta    1.224
Russia_Karelia_HG    0.662
Russia_Tyumen_HG    0.554
      Turkey_N    1.325
A:
          scale  497.632
        ONG.SG    -0.928
Iran_GanjDareh_N    1.068


full rank
f4info:
f4rank: 2 dof:      0 chisq:    0.000 tail:                    1 dofdiff:      3 chisqdiff:    15.769 taildiff:        0.00126461691
B:
          scale  452.616  525.890
Russia_MLBA_Sintashta    -1.194    1.204
Russia_Karelia_HG    -0.925    0.388
Russia_Tyumen_HG    -0.711    0.357
      Turkey_N    -1.101    1.508
A:
          scale    1.414    1.414
        ONG.SG    1.414    0.000
Iran_GanjDareh_N    0.000    1.414


best coefficients:    0.535    0.465
Jackknife mean:      0.534692365    0.465307635
      std. errors:    0.037    0.037

error covariance (* 1,000,000)
      1342      -1342
    -1342      1342


summ: Irula.DG    2      0.001265    0.535    0.465      1342      -1342      1342

    fixed pat  wt  dof    chisq      tail prob
          00  0    3    15.769      0.00126462    0.535    0.465
          01  1    4  126.905    1.78684e-26    1.000    0.000
          10  1    4  192.397              0    0.000    1.000
best pat:          00      0.00126462              -  -
best pat:          01      1.78684e-26  chi(nested):  111.136 p-value for nested model:    5.52351e-26

coeffs:    0.535    0.465

## dscore:: f_4(Base, Fit, Rbase, right2)
## genstat:: f_4(Base, Fit, right1, right2)

details:              ONG.SG Russia_MLBA_Sintashta    -0.002638  -10.793996
details:    Iran_GanjDareh_N Russia_MLBA_Sintashta    0.002289  10.157613
dscore: Russia_MLBA_Sintashta f4:    -0.000347 Z:    -1.791321

details:              ONG.SG    Russia_Karelia_HG    -0.002044  -5.769332
details:    Iran_GanjDareh_N    Russia_Karelia_HG    0.000737    2.211450
dscore:    Russia_Karelia_HG f4:    -0.000751 Z:    -2.654374

details:              ONG.SG    Russia_Tyumen_HG    -0.001571  -4.255674
details:    Iran_GanjDareh_N    Russia_Tyumen_HG    0.000679    1.915042
dscore:    Russia_Tyumen_HG f4:    -0.000525 Z:    -1.740686

details:              ONG.SG            Turkey_N    -0.002433  -9.818181
details:    Iran_GanjDareh_N            Turkey_N    0.002867  12.421330
dscore:            Turkey_N f4:    0.000031 Z:    0.154663

gendstat:            Mbuti.DG Russia_MLBA_Sintashta    -1.791
gendstat:            Mbuti.DG    Russia_Karelia_HG    -2.654
gendstat:            Mbuti.DG    Russia_Tyumen_HG    -1.741
gendstat:            Mbuti.DG            Turkey_N    0.155
gendstat: Russia_MLBA_Sintashta    Russia_Karelia_HG    -1.732
gendstat: Russia_MLBA_Sintashta    Russia_Tyumen_HG    -0.732
gendstat: Russia_MLBA_Sintashta            Turkey_N    3.278
gendstat:    Russia_Karelia_HG    Russia_Tyumen_HG    0.723
gendstat:    Russia_Karelia_HG            Turkey_N    3.041
gendstat:    Russia_Tyumen_HG            Turkey_N    2.030

worst Z-score with right hand mix
f4(Target, Fit, Base, mix of Right pops;  Z:    -3.977 sum:    1.000
        Russia_MLBA_Sintashta    3.316
            Russia_Karelia_HG    1.209
              Russia_Tyumen_HG    0.239
                      Turkey_N    -3.764

oldmode set: terminating
##end of qpAdm:      54.258 seconds cpu    1132.585 Mbytes in use

No worries happy to help
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Reply
Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#25
10-26-2024, 09:40 PM (This post was last modified: 10-26-2024, 09:41 PM by Jalisciense.)
@Genetics189291

Where are the percentage results? Xd there so many numbers and words that I am a little bit lost lol
Maternal grandpa's mtDNA: L1b1a

23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA & 3.2% Unassigned
AncestryDNA: 55% Europe/Sephardic Jew, 38% Indigenous Americas-Mexico, 4% MENA & 3% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa & <1% Eastern India
Living DNA: 63.3% West Iberia, 34.4% Native Americas & 2.3% Yorubaland
MyHeritage DNA: 77.5% Mexico, 21.4% Iberian & 1.1% Moroccan

qpAdm
taildiff: 0.959427
60.1% Iberian ± 1.9%, 34% Native American ± 1.9% & 5.8% African ± 0.9%
Find
Reply
Genetics189291 Offline
Senior Member
*******
Posts: 503
Threads: 72
Joined: Nov 2023
Gender: Male
Ethnicity: Arab
#26
10-26-2024, 09:46 PM (This post was last modified: 10-26-2024, 09:48 PM by Genetics189291.)
(10-26-2024, 09:40 PM)Jalisciense Wrote: @Genetics189291

Where are the percentage results? Xd there so many numbers and words that I am a little bit lost lol

full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 15.769 taildiff: 0.00126461691
B:
scale 452.616 525.890
Russia_MLBA_Sintashta -1.194 1.204
Russia_Karelia_HG -0.925 0.388
Russia_Tyumen_HG -0.711 0.357
Turkey_N -1.101 1.508
A:
scale 1.414 1.414
ONG.SG 1.414 0.000
Iran_GanjDareh_N 0.000 1.414


best coefficients: 0.535 0.465 this is the percentages
Jackknife mean: 0.534692365 0.465307635
std. errors: 0.037 0.037

error covariance (* 1,000,000)
1342 -1342
-1342 1342


summ: Irula.DG 2 0.001265 0.535 0.465 1342 -1342 1342

fixed pat wt dof chisq tail prob
00 0 3 15.769 0.00126462 0.535 0.465.    This is all models tried it needs to be above 0.05
01 1 4 126.905 1.78684e-26 1.000 0.000
10 1 4 192.397 0 0.000 1.000
best pat: 00 0.00126462 - -
best pat: 01 1.78684e-26 chi(nested): 111.136 p-value for nested model: 5.52351e-26

The number I made bold is what needs to be above 0.05 
coeffs: 0.535 0.465

I attached my sons one so you can get an idea of a passing model but it’s important to look at your gendstats as well


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Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#27
10-26-2024, 10:33 PM (This post was last modified: 10-26-2024, 10:35 PM by Jalisciense.)
(10-26-2024, 09:46 PM)Genetics189291 Wrote:
(10-26-2024, 09:40 PM)Jalisciense Wrote: @Genetics189291

Where are the percentage results? Xd there so many numbers and words that I am a little bit lost lol

full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 15.769 taildiff: 0.00126461691
B:
scale 452.616 525.890
Russia_MLBA_Sintashta -1.194 1.204
Russia_Karelia_HG -0.925 0.388
Russia_Tyumen_HG -0.711 0.357
Turkey_N -1.101 1.508
A:
scale 1.414 1.414
ONG.SG 1.414 0.000
Iran_GanjDareh_N 0.000 1.414


best coefficients: 0.535 0.465 this is the percentages
Jackknife mean: 0.534692365 0.465307635
std. errors: 0.037 0.037

error covariance (* 1,000,000)
1342 -1342
-1342 1342


summ: Irula.DG 2 0.001265 0.535 0.465 1342 -1342 1342

fixed pat wt dof chisq tail prob
00 0 3 15.769 0.00126462 0.535 0.465.    This is all models tried it needs to be above 0.05
01 1 4 126.905 1.78684e-26 1.000 0.000
10 1 4 192.397 0 0.000 1.000
best pat: 00 0.00126462 - -
best pat: 01 1.78684e-26 chi(nested): 111.136 p-value for nested model: 5.52351e-26

The number I made bold is what needs to be above 0.05 
coeffs: 0.535 0.465

I attached my sons one so you can get an idea of a passing model but it’s important to look at your gendstats as well

It's seems different to other I have seen, maybe because they used Admixtools2.

So this need to be 0.5? 0.00126462

This too: std. errors: 0.037 0.037

And the percentage, it says Onge 53.5% and Iran N 46.5%

What is the gendstats and what must come out for the model to be good?

Oh ok about your son's results, so he is mostly Guanche, Italian and lesser SSA...well at least I know now how to see the % and SE lol
Maternal grandpa's mtDNA: L1b1a

23andMe: 55.5% European, 33.7% Indigenous American, 4.2% WANA, 3.4% SSA & 3.2% Unassigned
AncestryDNA: 55% Europe/Sephardic Jew, 38% Indigenous Americas-Mexico, 4% MENA & 3% SSA
FamilyTreeDNA: 56.9% Europe, 33% Americas, 8.2% MENA, <2% Horn of Africa & <1% Eastern India
Living DNA: 63.3% West Iberia, 34.4% Native Americas & 2.3% Yorubaland
MyHeritage DNA: 77.5% Mexico, 21.4% Iberian & 1.1% Moroccan

qpAdm
taildiff: 0.959427
60.1% Iberian ± 1.9%, 34% Native American ± 1.9% & 5.8% African ± 0.9%
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Genetics189291 Offline
Senior Member
*******
Posts: 503
Threads: 72
Joined: Nov 2023
Gender: Male
Ethnicity: Arab
#28
10-26-2024, 11:08 PM
(10-26-2024, 10:33 PM)Jalisciense Wrote:
(10-26-2024, 09:46 PM)Genetics189291 Wrote:
(10-26-2024, 09:40 PM)Jalisciense Wrote: @Genetics189291

Where are the percentage results? Xd there so many numbers and words that I am a little bit lost lol

full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 15.769 taildiff: 0.00126461691
B:
scale 452.616 525.890
Russia_MLBA_Sintashta -1.194 1.204
Russia_Karelia_HG -0.925 0.388
Russia_Tyumen_HG -0.711 0.357
Turkey_N -1.101 1.508
A:
scale 1.414 1.414
ONG.SG 1.414 0.000
Iran_GanjDareh_N 0.000 1.414


best coefficients: 0.535 0.465 this is the percentages
Jackknife mean: 0.534692365 0.465307635
std. errors: 0.037 0.037

error covariance (* 1,000,000)
1342 -1342
-1342 1342


summ: Irula.DG 2 0.001265 0.535 0.465 1342 -1342 1342

fixed pat wt dof chisq tail prob
00 0 3 15.769 0.00126462 0.535 0.465.    This is all models tried it needs to be above 0.05
01 1 4 126.905 1.78684e-26 1.000 0.000
10 1 4 192.397 0 0.000 1.000
best pat: 00 0.00126462 - -
best pat: 01 1.78684e-26 chi(nested): 111.136 p-value for nested model: 5.52351e-26

The number I made bold is what needs to be above 0.05 
coeffs: 0.535 0.465

I attached my sons one so you can get an idea of a passing model but it’s important to look at your gendstats as well

It's seems different to other I have seen, maybe because they used Admixtools2.

So this need to be 0.5? 0.00126462

This too: std. errors: 0.037 0.037

And the percentage, it says Onge 53.5% and Iran N 46.5%

What is the gendstats and what must come out for the model to be good?

Oh ok about your son's results, so he is mostly Guanche, Italian and lesser SSA...well at least I know now how to see the % and SE lol

Yeah but for my son the Italian Sardinia is just a proxy for his east med ancestry I believe I’m just experimenting with different set ups I’ll eventually get it right. Right now his east med is way too high
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Jalisciense Offline
Senior Member
*******
Posts: 369
Threads: 24
Joined: Oct 2023
Gender: Male
Ethnicity: Hispanic mestizo
Nationality: Mexican
Y-DNA (P): E1b-L19 -> M183 -> PF2546
Y-DNA (M): E1b-L19 -> M183 -> PF2546
mtDNA (M): B2g1
mtDNA (P): C4
Country: Mexico
#29
10-26-2024, 11:24 PM
(10-26-2024, 11:08 PM)Genetics189291 Wrote:
(10-26-2024, 10:33 PM)Jalisciense Wrote:
(10-26-2024, 09:46 PM)Genetics189291 Wrote: full rank
f4info:
f4rank: 2 dof: 0 chisq: 0.000 tail: 1 dofdiff: 3 chisqdiff: 15.769 taildiff: 0.00126461691
B:
scale 452.616 525.890
Russia_MLBA_Sintashta -1.194 1.204
Russia_Karelia_HG -0.925 0.388
Russia_Tyumen_HG -0.711 0.357
Turkey_N -1.101 1.508
A:
scale 1.414 1.414
ONG.SG 1.414 0.000
Iran_GanjDareh_N 0.000 1.414


best coefficients: 0.535 0.465 this is the percentages
Jackknife mean: 0.534692365 0.465307635
std. errors: 0.037 0.037

error covariance (* 1,000,000)
1342 -1342
-1342 1342


summ: Irula.DG 2 0.001265 0.535 0.465 1342 -1342 1342

fixed pat wt dof chisq tail prob
00 0 3 15.769 0.00126462 0.535 0.465.    This is all models tried it needs to be above 0.05
01 1 4 126.905 1.78684e-26 1.000 0.000
10 1 4 192.397 0 0.000 1.000
best pat: 00 0.00126462 - -
best pat: 01 1.78684e-26 chi(nested): 111.136 p-value for nested model: 5.52351e-26

The number I made bold is what needs to be above 0.05 
coeffs: 0.535 0.465

I attached my sons one so you can get an idea of a passing model but it’s important to look at your gendstats as well

It's seems different to other I have seen, maybe because they used Admixtools2.

So this need to be 0.5? 0.00126462

This too: std. errors: 0.037 0.037

And the percentage, it says Onge 53.5% and Iran N 46.5%

What is the gendstats and what must come out for the model to be good?

Oh ok about your son's results, so he is mostly Guanche, Italian and lesser SSA...well at least I know now how to see the % and SE lol

Yeah but for my son the Italian Sardinia is just a proxy for his east med ancestry I believe I’m just experimenting with different set ups I’ll eventually get it right. Right now his east med is way too high

East med, well, I'm new using the pro tool so Idk what other options are good xd lol but I'll be looking your threads and models to see the results you and your son score.

Thanks again bro, without your help I haven't never been able to use qpAdm, I would simply dream that that day would come xdd but it came true thanks to you Smile
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