Translation components API.

See the Weblate's Web API documentation for detailed description of the API.

GET /api/translations/libo_help-7-6/textscalc01/es/units/?format=api&page=72
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Content-Type: application/json
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                "<ahelp hid=\"HID_FUNC_B\">Returns the probability of a sample with binomial distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_B\">Devuelve la probabilidad de una muestra con distribución binómica.</ahelp>"
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                "B(Trials; SP; T1 [; T2])"
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                "<emph>Trials</emph> is the number of independent trials."
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                "<emph>Ensayos</emph> es el número de intentos independientes."
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                "<emph>SP</emph> is the probability of success on each trial."
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                "<emph>T1</emph> defines the lower limit for the number of trials."
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                "<emph>T1</emph> define el límite inferior para el número de intentos."
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                "<emph>T2</emph> (optional) defines the upper limit for the number of trials."
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                "<emph>T2</emph> (opcional) define el límite superior para el número de intentos."
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            "source": [
                "What is the probability with ten throws of the dice, that a six will come up exactly twice? The probability of a six (or any other number) is 1/6. The following formula combines these factors:"
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                "¿Cuál debe ser la probabilidad si al tirar un dado 10 veces sale dos veces el seis? La probabilidad para un seis (o para cualquier otro número) es 1/6, luego el resultado es la siguiente fórmula:"
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                "<item type=\"input\">=B(10;1/6;2)</item> returns a probability of 29%."
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                "<item type=\"input\">=B(10;1/6;2)</item> devuelve una probabilidad del 29%."
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            "source": [
                "<bookmark_value>RSQ function</bookmark_value>  <bookmark_value>determination coefficients</bookmark_value>  <bookmark_value>regression analysis</bookmark_value>"
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                "<bookmark_value>COEFICIENTE.R2</bookmark_value>  <bookmark_value>coeficientes de determinación</bookmark_value>  <bookmark_value>análisis de regresión</bookmark_value>"
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                "RSQ"
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                "<ahelp hid=\"HID_FUNC_BESTIMMTHEITSMASS\">Returns the square of the Pearson correlation coefficient based on the given values.</ahelp> RSQ (also called determination coefficient) is a measure for the accuracy of an adjustment and can be used to produce a regression analysis."
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                "RSQ(DataY; DataX)"
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                "<emph>DataY</emph> is an array or range of data points."
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                "<item type=\"input\">=RSQ(A1:A20;B1:B20)</item> calculates the determination coefficient for both data sets in columns A and B."
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                "<item type=\"input\">=COEFICIENTE.R2(A1:A20;B1:B20)</item> calcula el coeficiente de determinación para los conjuntos de datos en las columnas A y B."
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                "<ahelp hid=\"HID_FUNC_BETAINV\">Returns the inverse of the cumulative Beta probability density function.</ahelp>"
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                "BETAINV(Number; Alpha; Beta [; Start [; End]])"
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                "<emph>Number</emph> is the probability associated with the Beta distribution for the given arguments <emph>Alpha</emph> and <emph>Beta</emph>."
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                "<emph>Alpha</emph> is a strictly positive parameter of the Beta distribution."
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                "<emph>Start</emph> (optional) is the lower bound of the output range of the function. If omitted, the default value is 0."
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                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/BETAINV\">BETAINV Wiki page</link>"
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                "<ahelp hid=\"HID_FUNC_BETAINV_MS\">Returns the inverse of the cumulative Beta probability density function.</ahelp>"
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                "<emph>Number</emph> is the probability associated with the Beta distribution for the given arguments <emph>Alpha</emph> and <emph>Beta</emph>."
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                "<emph>Número</emph>es la probabilidad asociada a la distribución Beta para los argumentos dados<emph>Alfa</emph> y <emph>Beta</emph>."
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            "source": [
                "<emph>Alpha</emph> is a strictly positive parameter of the Beta distribution."
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                "<emph>Alfa</emph>es un parámetro estrictamente positivo de la distribución Beta."
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            "source": [
                "<emph>Beta</emph> is a strictly positive parameter of the Beta distribution."
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                "<emph>Beta</emph>es un parámetro estrictamente positivo de la distribución Beta."
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            "source": [
                "<emph>Start</emph> (optional) is the lower bound of the output range of the function. If omitted, the default value is 0."
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                "<emph>Inicio</emph> (opcional) es el límite inferior del intervalo de salida de la función. Si se omite, el valor predeterminado es 0."
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                "<emph>End</emph> (optional) is the upper bound of the output range of the function. If omitted, the default value is 1."
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                "<emph>Fin</emph> (opcional) es el límite superior del intervalo de salida de la función. Si se omite, el valor predeterminado es 1."
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            "source": [
                "<input>=BETA.INV(0.5;5;10)</input> returns the value 0.3257511553."
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                "<input>=INV.BETA.N(0.5;5;10)</input>devuelve el valor de 0.3257511553."
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            "source": [
                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/BETA.INV\">BETA.INV Wiki page</link>"
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                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/BETA.INV\">Página del wiki sobre INV.BETA.N</link>"
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            "source": [
                "<bookmark_value>BETADIST function</bookmark_value>  <bookmark_value>cumulative probability density function;calculating</bookmark_value>"
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                "<bookmark_value>DISTR.BETA</bookmark_value>   <bookmark_value>función de densidad de probabilidad acumulada;calcular</bookmark_value>"
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                "BETADIST"
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                "DISTR.BETA"
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            "source": [
                "<ahelp hid=\"HID_FUNC_BETAVERT\">Returns the beta function.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_BETAVERT\">Devuelve la función beta.</ahelp>"
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            "source": [
                "BETADIST(Number; Alpha; Beta [; Start [; End [; Cumulative]]])"
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                "DISTR.BETA(Número; Alfa; Beta [; Inicio [;Fin [; Acumulativo]]])"
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            "source": [
                "<emph>Number</emph> is the value between <emph>Start</emph> and <emph>End</emph> at which to evaluate the function."
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                "<emph>Alpha</emph> is a parameter to the distribution."
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                "<emph>Alfa</emph> es un parámetro para la distribución."
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            "source": [
                "<emph>Beta</emph> is a parameter to the distribution."
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                "<emph>Beta</emph> es un parámetro para la distribución."
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                "<emph>Start</emph> (optional) is the lower bound for <emph>Number</emph>."
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                "<emph>End</emph> (optional) is the upper bound for <emph>Number</emph>."
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            "source": [
                "<emph>Cumulative</emph> (optional) can be 0 or False to calculate the probability density function. It can be any other value or True or omitted to calculate the cumulative distribution function."
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                "<emph>Acumulativa</emph> (opcional) puede ser 0 o Falso para calcular la función de densidad de probabilidad. Puede ser cualquier otro valor o Verdadero u omitirse para calcular la función de distribución acumulativa."
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            "source": [
                "<item type=\"input\">=BETADIST(0.75;3;4)</item> returns the value 0.96."
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                "<item type=\"input\">=DISTR.BETA(0,75;3;4)</item> devuelve el valor 0,96."
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                "<bookmark_value>BETA.DIST function</bookmark_value>  <bookmark_value>cumulative probability density function;calculating</bookmark_value>"
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                "<bookmark_value>función DISTR.BETA.N</bookmark_value>  <bookmark_value>función de densidad de probabilidad acumulada;cálculo</bookmark_value>"
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