Post your new feature on Vahaduo

[Impaler]

You can reduce your results to 3,4 or 5 samples. You need to run the whole spreadsheet.

https://vahaduo.github.io/vahaduo/

Average Modern:

Target: Impaler_scaled
Distance: 1.1768% / 0.01176767 | R3P
58.2 Romanian
23.8 Italian_Calabria
18.0 Jatt_Pathak

Target: Impaler_scaled
Distance: 1.0254% / 0.01025450 | R4P
41.6 Italian_Calabria
26.6 Moldovan_o
18.0 French_Paris
13.8 Kashmiri_Pandit

Target: Impaler_scaled
Distance: 0.9651% / 0.00965144 | R5P
41.6 Italian_Calabria
25.6 Moldovan_o
17.8 French_Paris
12.4 Kashmiri_Pandit
2.6 Tatar_Crimean_steppe


Average Ancient:

Target: Impaler_scaled
Distance: 1.3366% / 0.01336567 | R3P
63.2 ITA_Tivoli_Renaissance
25.4 VK2020_RUS_Kurevanikha_VA
11.4 IND_Roopkund_A

Target: Impaler_scaled
Distance: 1.1741% / 0.01174084 | R4P
31.0 VK2020_RUS_Kurevanikha_VA
26.2 ITA_Tivoli_Renaissance
22.4 BGR_C
20.4 PAK_Arkotkila_IA

Target: Impaler_scaled
Distance: 0.9783% / 0.00978258 | R5P
27.4 BGR_C
25.2 VK2020_RUS_Kurevanikha_VA
23.2 PAK_Arkotkila_IA
13.0 Levant_LBN_MA_o1
11.2 USA_colonial_period

[Mr.G]

G25 modern averages scaled, whole spreadsheet, set to 3 samples:


Target: Mr.G_scaled
Distance: 0.9674% / 0.00967376 | R3P
50.2 Norwegian
44.0 Serbian
5.8 Turkish_Balikesir

[gixajo]

Reducing to 3 main components:


Target: gixajo_scaled
Distance: 1.4913% / 0.01491308 | R3P
71.4 Spanish_Aragon
25.0 Spanish_Cantabria
3.6 Lithuanian_PZ

Target: gixajo_dad_scaled
Distance: 1.7030% / 0.01702955 | R3P
48.6 English_Cornwall
39.6 Sardinian
11.8 Moroccan_North

Target: gixajo_mom_scaled
Distance: 1.6521% / 0.01652057 | R3P
48.8 Spanish_Pais_Vasco
41.8 Spanish_Castilla_Y_Leon
9.4 Icelandic

[Kaspias]

liked how it models me

Target: Kaspias_scaled
Distance: 1.9164% / 0.01916363 | R3P
47.2 BGR_Krepost_N = EEF
33.2 BGR_MLBA = Steppe Thracian
19.6 KAZ_Kipchak = Turkic

[17571imre]

pretty good i would say.

Target: mh_scaled
Distance: 0.7726% / 0.00772582 | R5P
39.6 Russian_Kursk
21.0 Macedonian
18.8 Shetlandic
18.0 Sardinian
2.6 Balochi

Target: mh_scaled
Distance: 0.8859% / 0.00885890 | R4P
38.2 Russian_Kursk
28.2 Macedonian
18.2 Shetlandic
15.4 Sardinian

mother:

Target: cb_scaled
Distance: 1.5979% / 0.01597929 | R3P
61.4 Slovakian
32.8 Macedonian
5.8 Yukagir_Forest

[Kaazi]

You can reduce your results to 3,4 or 5 samples. You need to run the whole spreadsheet.

https://vahaduo.github.io/vahaduo/

Average Modern:

Target: Impaler_scaled
Distance: 1.1768% / 0.01176767 | R3P
58.2 Romanian
23.8 Italian_Calabria
18.0 Jatt_Pathak

Target: Impaler_scaled
Distance: 1.0254% / 0.01025450 | R4P
41.6 Italian_Calabria
26.6 Moldovan_o
18.0 French_Paris
13.8 Kashmiri_Pandit

Target: Impaler_scaled
Distance: 0.9651% / 0.00965144 | R5P
41.6 Italian_Calabria
25.6 Moldovan_o
17.8 French_Paris
12.4 Kashmiri_Pandit
2.6 Tatar_Crimean_steppe


Average Ancient:

Target: Impaler_scaled
Distance: 1.3366% / 0.01336567 | R3P
63.2 ITA_Tivoli_Renaissance
25.4 VK2020_RUS_Kurevanikha_VA
11.4 IND_Roopkund_A

Target: Impaler_scaled
Distance: 1.1741% / 0.01174084 | R4P
31.0 VK2020_RUS_Kurevanikha_VA
26.2 ITA_Tivoli_Renaissance
22.4 BGR_C
20.4 PAK_Arkotkila_IA

Target: Impaler_scaled
Distance: 0.9783% / 0.00978258 | R5P
27.4 BGR_C
25.2 VK2020_RUS_Kurevanikha_VA
23.2 PAK_Arkotkila_IA
13.0 Levant_LBN_MA_o1
11.2 USA_colonial_period

Just curious, you picked up the Pathak Jatt, Kashmiri Pandit, Arkotkila_IA. Are you South Asian admixed specially northern ones?

[17571imre]

Ancient:

mother

Target: cb_scaled
Distance: 1.7230% / 0.01723018 | R3P
51.8 Baltic_EST_MA
26.6 GRC_N
21.6 Sarmatian_RUS_Caucasus

mine:

Target: mh_scaled
Distance: 1.2747% / 0.01274741 | R3P
51.4 DEU_Krakauer_Berg_MA (balto-slavic)
38.2 HRV_IA (Balkanic)
10.4 TUR_Kaman-Kalehoyuk_MLBA_low_res (Balkanic)

[Universe]

This is only for G25?

[Thracian]

This is only for G25?

No, you can run all of Gedmatch calculators as well. Just copy the data from http://vahaduo.genetics.ovh/ and paste https://vahaduo.github.io/vahaduo/.

You will see it on SINGLE section just below the CYCLES.

[Pedro Ruben]

Modern Averages

Target: Pedro_scaled
Distance: 1.6491% / 0.01649072 | R3P
67.6 Spanish_Castilla_Y_Leon
19.6 Orcadian
12.8 Tunisian_Douz

Target: Dad_scaled
Distance: 1.7041% / 0.01704130 | R3P
76.8 Spanish_Castilla_Y_Leon
13.6 Berber_MAR_ERR
9.6 Cossack_Ukrainian

Target: Mom_scaled
Distance: 1.5722% / 0.01572235 | R3P
84.2 Spanish_Castilla_La_Mancha
12.4 English_Cornwall
3.4 Dinka