How to extract the rest of the distance calculation to know which population is closer to it ?

[tita]

When i calculate distance i get a percent displayed, how to make coordinates with this percent to see which population it is more related to ?

[sacha]

I am not sure what you are asking. Perhaps I need a higher IQ. But I interpreted it as:

"When I calculate my distance from a population, I get a percentage displayed. How can I see how this population models in terms of other populations in my calculator?"

I assume you are using Vahaduo, and what you are referring to is one of the following:
1. Your distances in the 'Distance' section, that look like this
Distance to: Sacha_scaled
0.03367686 Lebanon_IAIII_Beirut
0.03632010 Italy_Roman_Empire_Rome_(Levantine_Profile)
0.03810363 Lebanese_Christian_Greek_Orthodox
0.03901910 Lebanese_Christian_Maronite
0.03954837 Hatay_MLBA_Alalakh
2. Your distances in the 'Single' or Admixture calculation sections, which look like this:
Target: Sacha_scaled
Distance: 2.6607% / 0.02660690 | ADC: 0.5x RC
40.4 Lebanon_IAII_Beirut
20.0 Italy_Roman_Empire_Casale_del_Dolce_(Anatolian_Pro file)
16.6 Anatolia_MLBA_Kaman-Kalehoyuk_(low_res)
8.4 Greece_BA_Minoan_Petras
7.4 Italy_Roman_Empire_Rome_(Levantine_Profile)
7.2 Israel_IBA_Yehud

For either of these, if you would like to see how a specific population stacks up in terms of other populations, you can:
1. Copy the name of the population you are trying to inspect
2. Go to the 'Source' tab and "Ctrl+F" that name
3. Cut (copy + delete) that coordinate from the source sheet, and move it over to 'target'
4. Run it as you would any other 'target'

[tita]

I am not sure what you are asking. Perhaps I need a higher IQ. But I interpreted it as:

"When I calculate my distance from a population, I get a percentage displayed. How can I see how this population models in terms of other populations in my calculator?"

I assume you are using Vahaduo, and what you are referring to is one of the following:
1. Your distances in the 'Distance' section, that look like this
Distance to: Sacha_scaled
0.03367686 Lebanon_IAIII_Beirut
0.03632010 Italy_Roman_Empire_Rome_(Levantine_Profile)
0.03810363 Lebanese_Christian_Greek_Orthodox
0.03901910 Lebanese_Christian_Maronite
0.03954837 Hatay_MLBA_Alalakh
2. Your distances in the 'Single' or Admixture calculation sections, which look like this:
Target: Sacha_scaled
Distance: 2.6607% / 0.02660690 | ADC: 0.5x RC
40.4 Lebanon_IAII_Beirut
20.0 Italy_Roman_Empire_Casale_del_Dolce_(Anatolian_Pro file)
16.6 Anatolia_MLBA_Kaman-Kalehoyuk_(low_res)
8.4 Greece_BA_Minoan_Petras
7.4 Italy_Roman_Empire_Rome_(Levantine_Profile)
7.2 Israel_IBA_Yehud

For either of these, if you would like to see how a specific population stacks up in terms of other populations, you can:
1. Copy the name of the population you are trying to inspect
2. Go to the 'Source' tab and "Ctrl+F" that name
3. Cut (copy + delete) that coordinate from the source sheet, and move it over to 'target'
4. Run it as you would any other 'target'

Thanks, but i am not looking for that. So if i well understood the percentage i underlined and putted in bold is the part that don't match completly with the population written right after. I would like to extract the part that doesn't match, to know which population is closer to it

[Repent]

Bump.

[Petalpusher]

You wouldn't be able to do it with G25 because it uses coordinates but you can do it with calcs like Eurogenes K13/K15 for example and simply compare your component scores with the closest population's scores you match. Then extract the differences in a base 100 percentage to find which population it is closest to.

But 2-way sorts of do that already as well. Let's say you match Austria first, 2 way will give you a list of Austria + something and if 2 way match is closer than Austria, it's tryng to fit that difference, except it's never gonna be perfect @0.00 because that population surely doesn't exist.

[Repent]

You wouldn't be able to do it with G25 because it uses coordinates but you can do it with calcs like Eurogenes K13/K15 for example and simply compare your component scores with the closest population's scores you match. Then extract the differences in a base 100 percentage to find which population it is closest to.

But 2-way sorts of do that already as well. Let's say you match Austria first, 2 way will give you a list of Austria + something and if 2 way match is closer than Austria, it's tryng to fit that difference, except it's never gonna be perfect @0.00 because that population surely doesn't exist.

Thank you for the answer. It exactly answers the question from this thread's title (at least how I understood that question).

[Petalpusher]

Thank you for the answer. It exactly answers the question from this thread's title (at least how I understood that question).

I learned to speak Titanese a while ago.

[Repent]

I learned to speak Titanese a while ago.

I do not understand what are you talking about in your post.

Update: Tita user name, now I get it. I am too new for you people.

[gixajo]

Thank you for the answer. It exactly answers the question from this thread's title (at least how I understood that question).

And playing with this tool?:

G25 Ghost Toolkit
A toolkit for G25 (Global 25) ancestry coordinate manipulation and ghost population simulation. Upload, combine, subtract, and convert G25 data for advanced analysis. (https://admixr.com/ghost/)

[Repent]

And playing with this tool?:

G25 Ghost Toolkit
A toolkit for G25 (Global 25) ancestry coordinate manipulation and ghost population simulation. Upload, combine, subtract, and convert G25 data for advanced analysis. (https://admixr.com/ghost/)

I didn't see that one. Thank you.