¿Si meto dos lonchas de jamón serrano en la cajita, acelerarán el proceso y me darán antes los resultados?,¿O como son judíos, se ofenderán y me castigarán dándome un 18% de SSA extra?
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¿Si meto dos lonchas de jamón serrano en la cajita, acelerarán el proceso y me darán antes los resultados?,¿O como son judíos, se ofenderán y me castigarán dándome un 18% de SSA extra?
Tengo que contar una cosa: con las prisas no sellé la cajita con el adhesivo que viene tirando de la cinta. Tal vez por eso me otorgaron un 1.1% SSA.Quote:
Originally Posted by gixajo
Puede ser. o el cartero era negro, como los huevos de un grillo negro, y la muestra se contaminó, por simpatía.Quote:
Originally Posted by Defcon2
Que va, eso no entra.Quote:
Originally Posted by Defcon2
https://www.theapricity.com/forum/sh...ator-(_Scaled)
New Calculator
Como tengo de abandonado esta seccion... madre mia.
Hice este calculador:
https://www.theapricity.com/forum/sh...65#post6746765
Pero a ver si alguien me dice como se cambia el título de un thread, porque es un poco engañoso el título y no sé como se cambia...:picard2:
Copio y pego del otro foro:
Quote:
Como siempre estamos con el recurrente debate de qué % de nuestro aporte NA es un aporte reciente o antiguo, aunque sé que no es determinante, se me ha ocurrido un método simplón para intentar discriminarlos.
Sería usar nuestras coordenadas , primero con estos dos samples:
Y luego con estos otros:Code:Moroccan,-0.0853671,0.1302133,-0.0128221,-0.0708806,0.0211321,-0.03294,-0.0277833,0.0097687,0.0554032,0.0243993,0.0095087,-0.0090252,0.0269902,-0.0144658,0.0163016,-0.0061874,-0.0027669,-0.0170326,-0.0384216,0.0094351,-0.0098438,-0.0295119,0.0209111,-0.0011248,0.0059207
Basque,0.12997965,0.15121785,0.05672945,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.00568710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.00472095
En distancias de 0.25X.Code:MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Basque,0.12997965,0.15121785,0.05672945,0.01091560,0.05699690,0.00131690,-0.00236310,0.00186655,0.03097855,0.04340165,-0.00690060,0.01097355,-0.02187710,-0.01639320,0.01558220,0.00089560,-0.00886335,0.00290045,-0.00126605,-0.00568710,0.00947355,0.00248615,-0.00776400,-0.00910345,0.00472095
El % del Moroccan vendría a representar el total del aporte NA moderno+antiguo, y el MAR_TAFORALT el aporte antiguo del componente NA.
Así restando al % Moroccan el % MAR_TAFORALT nos daría el aporte moderno, y podríamos ver la proporción de uno u otro, en diferentes distancias, y calcular una media aproximada en ellas para tener una media general.
Por ejemplo:
Quote:
Target: gixajo_scaled
Distance: 2.7839% / 0.02783920
92.6 Basque
7.4 Moroccan
Target: gixajo_scaled
Distance: 2.9121% / 0.02912123 | ADC: 0.5x
95.8 Basque
4.2 Moroccan
Target: gixajo_scaled
Distance: 2.7926% / 0.02792588 | ADC: 0.25x
93.4 Basque
6.6 Moroccan
DIST:NO=7.4 Moroccan-3.4 MAR_TAFORALT-----4 moderno/3.4 antiguo----54%moderno/46% antiguoQuote:
Target: gixajo_scaled
Distance: 3.0099% / 0.03009887
96.6 Basque
3.4 MAR_Taforalt
Target: gixajo_scaled
Distance: 3.1540% / 0.03154013 | ADC: 0.5x
98.6 Basque
1.4 MAR_Taforalt
Target: gixajo_scaled
Distance: 3.0236% / 0.03023582 | ADC: 0.25x
97.2 Basque
2.8 MAR_Taforalt
DIST:0.25X=6.6 Moroccan-2.8 MAR_TAFORALT-----3.8 moderno/2.8antiguo----57.7% moderno/42.3% antiguo
DIST:0.5X=4.2 Moroccan-1.4 MAR_TAFORALT-----2.8 moderno/ 1.4 antiguo---66.7% moderno/33.3% antiguo
La media sería 59.4% moderno y 40.6% antiguo.
Cosas que están mal?
Prácticamente todo, desde un sample muy moderno de Moroccan que tendrá bastante mezcla Ibérica, hasta usar un sample vasco como referente Ibérico, y unas cuantas cosas más.
Pero bueno, a día de hoy tampoco hay muchas mejores formas de separar aportes antiguos y modernos de un componente.
Otro método sería simplemente calcular proporciones observando la lista de distancias, pero este método es más entretenido, si os aburrís y os apetece jugar con números, es un buen entretenimiento, aunque no sirva para gran cosa.:)
Y como siempre, no es más que un juego.
Basque/MAR_Taforalt
Target: Pedro_scaled
Distance: 4.5581% / 0.04558146
90.0 Basque
10.0 MAR_Taforalt
Target: Pedro_scaled
Distance: 4.5848% / 0.04584802 | ADC: 0.25x
91.0 Basque
9.0 MAR_Taforalt
Basque/Moroccan
Target: Pedro_scaled
Distance: 3.4317% / 0.03431675
78.8 Basque
21.2 Moroccan
Target: Pedro_scaled
Distance: 3.4489% / 0.03448899 | ADC: 0.25x
80.2 Basque
19.8 Moroccan
Intento de modelar españoles y portugueses con solo 3 samples viejunos. Lo siento.:picard1:
Deberíamos obtener todos los españoles y portugueses distancias menores de 2 con esto:
Code:MAR_Taforalt,-0.189857,0.0814452,-0.0242866,-0.085595,0.027636,-0.0552202,-0.0705968,0.0184146,0.155397,0.003499,0.0209156,-0.0318316,0.0747168,-0.0513334,0.0711988,-0.0363032,0.0052676,-0.066106,-0.1424162,0.0389938,-0.0376836,-0.1255322,0.0730118,-0.0137606,0.0164534
Iberia_Northeast_c.6-8CE_ES,0.118376,0.1457285,0.0446885,0.013566,0.0446235,-0.000139,0.0005875,0.007615,0.024441,0.0266065,-0.0080385,0.008917,-0.0064665,-0.006675,0.012079,0.002055,-0.008279,0.004371,-0.000754,0.0027515,-0.0004995,-0.0009275,-0.0056695,0.00241,-0.0022755
CHE_IA,0.125205,0.153345,0.050534,-0.003876,0.049548,-0.005578,0.0047,-0.002077,0.014726,0.033896,0.001786,0.016335,-0.016353,-0.008945,0.001764,-0.001591,0.009518,0.001647,0.002514,-0.006128,0.005241,0.005688,-0.012078,-0.004338,0.000958