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=78
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                "<bookmark_value>GAMMALN.PRECISE function</bookmark_value>         <bookmark_value>natural logarithm of Gamma function</bookmark_value>"
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                "<bookmark_value>GAMMA.LN.EXACTO</bookmark_value>         <bookmark_value>logaritmo natural de la función Gamma</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_GAMMALN_MS\">Returns the natural logarithm of the Gamma function: G(x).</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GAMMALN_MS\">Devuelve el logaritmo natural de la función gamma: G(x).</ahelp>"
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                "<emph>Number</emph> is the value for which the natural logarithm of the Gamma function is to be calculated."
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                "<item type=\"input\">=GAMMALN.PRECISE(2)</item> yields 0."
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                "<bookmark_value>GAMMADIST function</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_GAMMAVERT\">Returns the values of a Gamma distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GAMMAVERT\">Devuelve el valor de una distribución gamma.</ahelp>"
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                "The inverse function is GAMMAINV."
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                "La función inversa es DISTR.GAMMA.INV."
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                "GAMMADIST(Number; Alpha; Beta [; C])"
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                "<emph>Number</emph> is the value for which the Gamma distribution is to be calculated."
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                "<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution."
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                "<emph>Beta</emph> is the parameter Beta of the Gamma distribution."
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                "<emph>C</emph> (optional) = 0 or False calculates the density function <emph>C</emph> = 1 or True calculates the distribution."
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                "<bookmark_value>GAMMA.DIST function</bookmark_value>"
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                "GAMMA.DIST"
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                "<ahelp hid=\"HID_FUNC_GAMMADIST_MS\">Returns the values of a Gamma distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GAMMADIST_MS\">Devuelve el valor de una distribución gamma.</ahelp>"
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            "source": [
                "The inverse function is GAMMAINV or GAMMA.INV."
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                "La función inversa es DISTR.GAMMA.INV o INV.GAMMA"
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                "This function is similar to GAMMADIST and was introduced for interoperability with other office suites."
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                "Esta función es parecida a DISTR.GAMMA y se adoptó por razones de interoperatividad con otros paquetes de oficina."
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                "GAMMA.DIST(Number; Alpha; Beta; Cumulative)"
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                "<emph>Number</emph> is the value for which the Gamma distribution is to be calculated."
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                "<emph>Número</emph> es el valor para el cual se debe calcular la distribución Gamma."
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                "<emph>Alpha</emph> is the parameter Alpha of the Gamma distribution."
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                "<emph>Alfa</emph> es el parámetro Alfa de la distribución Gamma."
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                "<emph>Beta</emph> is the parameter Beta of the Gamma distribution."
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                "<emph>Beta</emph> es el parámetro Beta de la distribución Gamma."
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            "source": [
                "<emph>Cumulative</emph> = 0 or False calculates the probability density function; <emph>Cumulative</emph> = 1, True, or any other value calculates the cumulative distribution function."
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                "<emph>Acumulada</emph> = 0 o Falso calcula la función de densidad de probabilidad. <emph>Acumulada</emph> =1, Verdadero u otros valores calcula la función de distribución acumulada."
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                "<item type=\"input\">=GAMMA.DIST(2;1;1;1)</item> yields 0.86."
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                "<item type=\"input\">=DISTR.GAMMA(2;1;1;1)</item> da 0,86."
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                "<bookmark_value>GAUSS function</bookmark_value>         <bookmark_value>normal distribution; standard</bookmark_value>"
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                "<bookmark_value>GAUSS</bookmark_value>         <bookmark_value>distribución normal; estándar</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_GAUSS\">Returns the standard normal cumulative distribution.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GAUSS\">Calcula la distribución normal predeterminada acumulativa.</ahelp>"
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                "It is GAUSS(x)=NORMSDIST(x)-0.5"
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            "source": [
                "<emph>Number</emph> is the value for which the value of the standard normal distribution is to be calculated."
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                "<emph>Número</emph> es el valor para el que se calculará el valor de la distribución normal estándar."
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                "<item type=\"input\">=GAUSS(0.19)</item> = 0.08"
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                "<item type=\"input\">=GAUSS(0,19)</item> = 0,08"
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                "<item type=\"input\">=GAUSS(0.0375)</item> = 0.01"
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                "<item type=\"input\">=GAUSS(0,0375)</item> = 0,01"
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                "<bookmark_value>GEOMEAN function</bookmark_value>         <bookmark_value>means;geometric</bookmark_value>"
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                "<bookmark_value>MEDIA.GEOM</bookmark_value>         <bookmark_value>medias;geométricas</bookmark_value>"
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                "GEOMEAN"
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                "<ahelp hid=\"HID_FUNC_GEOMITTEL\">Returns the geometric mean of a sample.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GEOMITTEL\">Devuelve la media geométrica de una muestra.</ahelp>"
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                "GEOMEAN(<embedvar href=\"text/scalc/01/ful_func.xhp#number255_1\" markup=\"keep\"/>)"
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                "MEDIA.GEOM(<embedvar href=\"text/scalc/01/ful_func.xhp#number255_1\" markup=\"keep\"/>)"
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                "<item type=\"input\">=GEOMEAN(23;46;69)</item> = 41.79. The geometric mean value of this random sample is therefore 41.79."
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                "<bookmark_value>TRIMMEAN function</bookmark_value>         <bookmark_value>means;of data set without margin data</bookmark_value>"
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                "<bookmark_value>MEDIA.ACOTADA</bookmark_value>         <bookmark_value>medias;de grupo de datos sin datos marginales</bookmark_value>"
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                "<ahelp hid=\"HID_FUNC_GESTUTZTMITTEL\">Returns the mean of a data set without the Alpha percent of data at the margins.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_GESTUTZTMITTEL\">Calcula el promedio de un grupo de datos sin tener en cuenta el porcentaje alfa de los datos en los márgenes.</ahelp>"
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                "TRIMMEAN(Data; Alpha)"
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                "MEDIA.ACOTADA(datos; alfa)"
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            "source": [
                "<emph>Data</emph> is the array of data in the sample."
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                "<emph>Datos</emph> es la matriz de datos en la muestra."
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            "source": [
                "<emph>Alpha</emph> is the percentage of the marginal data that will not be taken into consideration."
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                "<emph>Alfa</emph> es el porcentaje de datos marginales que no se tendrán en cuenta."
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                "<item type=\"input\">=TRIMMEAN(A1:A50; 0.1)</item> calculates the mean value of numbers in A1:A50, without taking into consideration the 5 percent of the values representing the highest values and the 5 percent of the values representing the lowest ones. The percentage numbers refer to the amount of the untrimmed mean value, not to the number of summands."
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                "<item type=\"input\">=MEDIA.ACOTADA(A1:A50; 0,1)</item> calcula el promedio de los números en A1:A50, sin tener en cuenta el 5 por ciento de valores más bajos y el 5 por ciento de valores más altos. Los porcentajes se aplican a la cantidad del promedio no recortado, no a la cantidad de los sumandos."
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            "source": [
                "<bookmark_value>ZTEST function</bookmark_value>"
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                "<bookmark_value>PRUEBA.Z</bookmark_value>"
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            "note": "72brA",
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