Translation components API.

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

GET /api/translations/libo_help-24-2/textscalc01/fr/units/?format=api&page=142
HTTP 200 OK
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Content-Type: application/json
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            "source": [
                "Note on prediction intervals: there is no exact mathematical way to calculate this for forecasts, there are various approximations. Prediction intervals tend to be increasingly 'over-optimistic' when increasing distance of the forecast-X from the observation data set."
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                "Remarque sur les intervalles de prédiction : il n'y a pas de façon mathématique exacte de calcul des prévisions, il y a diverses approximations. Les intervalles de prédiction tendent à être de plus en plus 'sur optimistes' lorsque l'on augmente la distance de la prévision X à partir de l'ensemble de données d'observation."
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            "source": [
                "For ETS, Calc uses an approximation based on 1000 calculations with random variations within the standard deviation of the observation data set (the historical values)."
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                "Pour ETS, Calc utilise une approximation basée sur 1000 calculs avec des variations aléatoires entre l'écart type de l'ensemble de données d'observation (les valeurs historiques)."
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            "source": [
                "=FORECAST.ETS.PI.MULT(DATE(2014;1;1);Values;Timeline;0.9;1;TRUE();1)"
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                "=PREVISION.ETS.PI.MULT(DATE(2014;1;1);valeurs;chronologie;0,9;1;VRAI();1)"
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            "id": 112281073,
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                "Returns 20.1040952101013, the prediction interval for multiplicative forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, confidence level of 90% (=0.9) with one sample per period, no missing data, and AVERAGE as aggregation."
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                "Renvoie 20,1040952101013, l'intervalle de prédiction pour la prévision multiplicative de Janvier 2014 basé sur les plages nommées <emph>valeurs</emph> et <emph>chronologie</emph> au-dessus, le niveau de confiance de 90% (=0,9) avec un échantillon par période, pas de données manquantes et MOYENNE comme groupement."
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                "=FORECAST.ETS.PI.MULT(DATE(2014;1;1);Values;Timeline;0.8;4;TRUE();7)"
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                "=PREVISION.ETS.PI.MULT(DATE(2014;1;1);valeurs;chronologie;0,8;4;VRAI();7)"
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            "id": 112281075,
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                "Returns 27.5285874381574, the prediction interval for multiplicative forecast for January 2014 based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with confidence level of 0.8, period length of 4, no missing data, and SUM as aggregation."
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                "Renvoie 27,5285874381574, l'intervalle de prédiction pour la prévision multiplicative de Janvier 2014 basé sur les plages nommées <emph>valeurs</emph> et <emph>chronologie</emph> au-dessus, avec un niveau de confidence de 0,8, une durée de 4, pas de données manquantes et SOMME comme groupement."
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            "source": [
                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/FORECAST.ETS.PI.MULT\">FORECAST.ETS.PI.MULT wiki page</link>."
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                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/FORECAST.ETS.PI.MULT\">Page de wiki PREVISION.ETS.PI.MULT</link>."
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            "source": [
                "See also:  <link href=\"text/scalc/01/func_forecastetsadd.xhp\">FORECAST.ETS.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsmult.xhp\">FORECAST.ETS.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">FORECAST.ETS.STAT.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsstatmult.xhp\">FORECAST.ETS.STAT.MULT</link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">FORECAST.ETS.PI.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsseason.xhp\">FORECAST.ETS.SEASONALITY</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">FORECAST</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">FORECAST.LINEAR</link>"
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                "See also :  <link href=\"text/scalc/01/func_forecastetsadd.xhp\">PREVISION.ETS.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsmult.xhp\">PREVISION.ETS.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">PREVISION.ETS.STAT.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsstatmult.xhp\">PREVISION.ETS.STAT.MULT</link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">PREVISION.ETS.PI.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsseason.xhp\">PREVISION.ETS.CARACTERESAISONNIER</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">PREVISION</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">PREVISION.LINEAIRE</link>"
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            "id": 112281078,
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                "FORECAST.ETS.SEASONALITY"
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                "PREVISION.ETS.CARACTERESAISONNIER"
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            "id": 112281079,
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                "<bookmark_value>FORECAST.ETS.SEASONALITY function</bookmark_value>"
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                "<bookmark_value>PREVISION.ETS.CARACTERESAISONNIER, fonction</bookmark_value>"
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                "<link href=\"text/scalc/01/func_forecastetsseason.xhp\">FORECAST.ETS.SEASONALITY Function</link>"
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            "target": [
                "Fonction <link href=\"text/scalc/01/func_forecastetsseason.xhp\">PREVISION.ETS.CARACTERESAISONNIER</link>"
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            "id": 112281081,
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            "source": [
                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_SEA\">Returns the number of samples in period as calculated by Calc in case of FORECAST.ETS functions when argument <emph>period_length</emph> equals 1. </ahelp>"
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                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_SEA\">Renvoie le nombre d'échantillons en périodes comme calculés par Calc dans le cas des fonctions PREVISION.ETS quand l'argument <emph>longueur_période</emph> égale 1. </ahelp>"
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            "priority": 100,
            "id": 112281082,
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                "The same result is returned with FORECAST.ETS.STAT functions when argument <emph>stat_type</emph> equals 9 (and <emph>period_length</emph> equals 1)."
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                "Le même résultat est renvoyé avec les fonctions PREVISION.ETS.STAT lorsque l'argument <emph>type_stat</emph> égale 9 (et <emph>longueur_période</emph> égale 1)."
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                "FORECAST.ETS.SEASONALITY (values, timeline, [data_completion], [aggregation])"
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                "PREVISION.ETS.CARACTERESAISONNIER (valeurs; chronologie; [complétion_données]; [groupement])"
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            "id": 112281084,
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        },
        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-24-2/textscalc01/fr/?format=api",
            "source": [
                "=FORECAST.ETS.SEASONALITY(Values;Timeline;TRUE();1)"
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            "target": [
                "=PREVISION.ETS.CARACTERESAISONNIER(valeurs;chronologie;VRAI();1)"
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            "note": "QFDLA",
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            "id": 112281085,
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        {
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            "source": [
                "Returns 6, the number of samples in period based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, no missing data, and AVERAGE as aggregation."
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            "target": [
                "Renvoie 6, le nombre d'échantillons en périodes basé sur les plages nommées <emph>valeurs</emph> et <emph>chronologie</emph> ci-dessus, aucune données manquantes et MOYENNE comme agrégation."
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            "source": [
                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/FORECAST.ETS.SEASONALITY\">FORECAST.ETS.SEASONALITY wiki page</link>."
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            "target": [
                "<link href=\"https://wiki.documentfoundation.org/Documentation/Calc_Functions/FORECAST.ETS.SEASONALITY\">Page de wiki PREVISION.ETS.CARACTERESAISONNIER</link>."
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            "priority": 100,
            "id": 112281087,
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            "source": [
                "See also:  <link href=\"text/scalc/01/func_forecastetsadd.xhp\">FORECAST.ETS.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsmult.xhp\">FORECAST.ETS.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">FORECAST.ETS.STAT.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsstatmult.xhp\">FORECAST.ETS.STAT.MULT</link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">FORECAST.ETS.PI.ADD</link>,  <link href=\"text/scalc/01/func_forecastetspimult.xhp\">FORECAST.ETS.PI.MULT</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">FORECAST</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">FORECAST.LINEAR</link>"
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                "Voir également : <link href=\"text/scalc/01/func_forecastetsadd.xhp\">PREVISION.ETS.ADD</link>, <link href=\"text/scalc/01/func_forecastetsmult.xhp\">PREVISION.ETS.MULT</link>, <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">PREVISION.ETS.STAT.ADD</link>, <link href=\"text/scalc/01/func_forecastetsstatmult.xhp\">PREVISION.ETS.STAT.MULT</link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">PREVISION.ETS.PI.ADD</link>,  <link href=\"text/scalc/01/func_forecastetspimult.xhp\">PREVISION.ETS.PI.MULT</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">PREVISION</link>, <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">PREVISION.LINEAIRE</link>"
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            "id": 112281088,
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            "source": [
                "FORECAST.ETS.STAT.ADD"
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            "id": 112281089,
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            "source": [
                "<bookmark_value>FORECAST.ETS.STAT.ADD function</bookmark_value>"
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                "<bookmark_value>PREVISION.ETS.STAT.ADD, fonction</bookmark_value>"
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            "priority": 100,
            "id": 112281090,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-24-2/textscalc01/fr/?checksum=229edbb9c7d3e7ce",
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-24-2/textscalc01/fr/?format=api",
            "source": [
                "<link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">FORECAST.ETS.STAT.ADD Function</link>"
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            "target": [
                "Fonction <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">PREVISION.ETS.STAT.ADD</link>"
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            "priority": 100,
            "id": 112281091,
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            "url": "https://translations.documentfoundation.org/api/units/112281091/?format=api",
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            "timestamp": "2024-02-01T19:16:12.343533Z"
        },
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            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-24-2/textscalc01/fr/?format=api",
            "source": [
                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_STA\">Returns statistical value(s) that are results of the ETS/EDS algorithms.</ahelp>"
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            "target": [
                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_STA\">Renvoie la ou les valeurs statistiques qui sont des résultats des algorithmes ETS/EDS.</ahelp>"
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            "priority": 100,
            "id": 112281092,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-24-2/textscalc01/fr/?checksum=a4bdcbc17608506f",
            "url": "https://translations.documentfoundation.org/api/units/112281092/?format=api",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-24-2/textscalc01/fr/?format=api",
            "source": [
                "FORECAST.ETS.STAT.ADD calculates with the model"
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            "target": [
                "PREVISION.ETS.STAT.ADD calcule avec le modèle"
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            "id_hash": 5957881360717969712,
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            "location": "func_forecastetsstatadd.xhp",
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            "note": "kXBEC",
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            "priority": 100,
            "id": 112281093,
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            "source": [
                "FORECAST.ETS.STAT.ADD (values, timeline, stat_type, [period_length], [data_completion], [aggregation])"
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                "PREVISION.ETS.STAT.ADD (valeurs; chronologie; type_stat; [durée]; [complétion_données]; [groupement])"
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            "priority": 100,
            "id": 112281094,
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        {
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            "source": [
                "=FORECAST.ETS.STAT.ADD(Values;Timeline;3;1;TRUE();1)"
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                "=PREVISION.ETS.STAT.ADD(valeurs;chronologie;VRAI();1)"
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            "source": [
                "Returns 0.9990234375, the additive statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with beta smoothing, one sample per period, no missing data, and AVERAGE as aggregation."
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            "target": [
                "Renvoie 0,9990234375, les statistiques additives basées sur les plages nommées <emph>valeurs</emph> et <emph>chronologie</emph> ci-dessus, avec un lissage béta, un échantillon par période, aucune donnée manquante et MOYENNE comme agrégation."
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            "priority": 100,
            "id": 112281096,
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                "=FORECAST.ETS.STAT.ADD(Values;Timeline;2;1;TRUE();7)"
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                "=PREVISION.ETS.STAT.ADD(valeurs;chronologie;2;1;VRAI();7)"
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            "note": "cCrti",
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            "priority": 100,
            "id": 112281097,
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        {
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            "source": [
                "Returns 0.0615234375, the additive statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with gamma smoothing, no missing data, and SUM as aggregation."
            ],
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            "target": [
                "Renvoie 0,0615234375, les statistiques additives basées sur les plages nommées <emph>valeurs</emph> et <emph>chronologie</emph>, avec un lissage gamma, aucune donnée manquante et SOMME comme agrégation."
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                "See also:  <link href=\"text/scalc/01/func_forecastetsadd.xhp\">FORECAST.ETS.ADD </link>,  <link href=\"text/scalc/01/func_forecastetsmult.xhp\">FORECAST.ETS.MULT </link>,  <link href=\"text/scalc/01/func_forecastetsstatmult.xhp\">FORECAST.ETS.STAT.MULT </link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">FORECAST.ETS.PI.ADD </link>,  <link href=\"text/scalc/01/func_forecastetspimult.xhp\">FORECAST.ETS.PI.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsseason.xhp\">FORECAST.ETS.SEASONALITY</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">FORECAST</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">FORECAST.LINEAR</link>"
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                "Voirs également : <link href=\"text/scalc/01/func_forecastetsadd.xhp\">PREVISION.ETS.ADD </link>, <link href=\"text/scalc/01/func_forecastetsmult.xhp\">PREVISION.ETS.MULT </link>,  <link href=\"text/scalc/01/func_forecastetsstatmult.xhp\">PREVISION.ETS.STAT.MULT </link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">PREVISION.ETS.PI.ADD </link>,  <link href=\"text/scalc/01/func_forecastetspimult.xhp\">PREVISION.ETS.PI.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsseason.xhp\">PREVISION.ETS.CARACTERESAISONNIER</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">PREVISION</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">PREVISION.LINEAIRE</link>"
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                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_STM\">Returns statistical value(s) that are results of the ETS/EDS algorithms.</ahelp>"
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                "<ahelp hid=\"HID_FUNC_FORECAST_ETS_STM\">Renvoie la ou les valeurs statistiques qui sont le résultat des algorithmes ETS/EDS.</ahelp>"
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                "FORECAST.ETS.STAT.MULT calculates with the model"
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                "Returns 0.084073452803966, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with symmetric mean absolute percentage error (SMAPE), one sample per period, no missing data, and AVERAGE as aggregation."
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                "Returns 15.8372533480997, the multiplicative statistics based on <emph>Values</emph> and <emph>Timeline</emph> named ranges above, with root mean squared error, no missing data, and SUM as aggregation."
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                "See also:  <link href=\"text/scalc/01/func_forecastetsadd.xhp\">FORECAST.ETS.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsmult.xhp\">FORECAST.ETS.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">FORECAST.ETS.STAT.ADD</link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">FORECAST.ETS.PI.ADD</link>,  <link href=\"text/scalc/01/func_forecastetspimult.xhp\">FORECAST.ETS.PI.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsseason.xhp\">FORECAST.ETS.SEASONALITY</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">FORECAST</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">FORECAST.LINEAR</link>"
            ],
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            "target": [
                "Voir aussi : <link href=\"text/scalc/01/func_forecastetsadd.xhp\">PREVISION.ETS.ADD</link>,  <link href=\"text/scalc/01/func_forecastetsmult.xhp\">PREVISION.ETS.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsstatadd.xhp\">PREVISION.ETS.STAT.ADD</link>,  <link href=\"text/scalc/01/func_forecastetspiadd.xhp\">PREVISION.ETS.PI.ADD</link>,  <link href=\"text/scalc/01/func_forecastetspimult.xhp\">PREVISION.ETS.PI.MULT</link>,  <link href=\"text/scalc/01/func_forecastetsseason.xhp\">PREVISION.ETS.CARACTERESAISONNIER</link>,  <link href=\"text/scalc/01/04060185.xhp#forecast\">PREVISION</link>,  <link href=\"text/scalc/01/04060185.xhp#forecastlinear\">PREVISION.LINEAIRE</link>"
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            "source": [
                "FOURIER function"
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                "FOURIER, fonction"
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            "priority": 100,
            "id": 112281113,
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            "source": [
                "<bookmark_value>FOURIER function</bookmark_value>"
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                "<bookmark_value>FOURIER, fonction</bookmark_value>"
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            "priority": 100,
            "id": 112281114,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-24-2/textscalc01/fr/?checksum=6f39966e81e6c1e3",
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        {
            "translation": "https://translations.documentfoundation.org/api/translations/libo_help-24-2/textscalc01/fr/?format=api",
            "source": [
                "<variable id=\"fourierfunct\"><link href=\"text/scalc/01/func_fourier.xhp\">FOURIER</link></variable>"
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            "target": [
                "<variable id=\"fourierfunct\"><link href=\"text/scalc/01/func_fourier.xhp\">FOURIER</link></variable>"
            ],
            "id_hash": 389139484410612319,
            "content_hash": 389139484410612319,
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            "priority": 100,
            "id": 112281115,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-24-2/textscalc01/fr/?checksum=8566804ca05f8a5f",
            "url": "https://translations.documentfoundation.org/api/units/112281115/?format=api",
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        {
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            "source": [
                "<variable id=\"textjoinfunction\"><ahelp hid=\".\">Computes the  Discrete Fourier Transform [DFT] of an input array of complex numbers using a couple of Fast Fourier Transform (FFT) algorithms.</ahelp></variable> The  function is an <link href=\"text/scalc/01/04060107.xhp\">array formula</link>."
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            "target": [
                "<variable id=\"textjoinfunction\"><ahelp hid=\".\">Exécute la Transformation Discrete de Fourier [DFT] d'une matrice d'entrée d'un nombre complexe utilisant une paire d'algorithmes Transformation Rapide de Fourier (FFT).</ahelp></variable> La fonction est une <link href=\"text/scalc/01/04060107.xhp\"> formule de matrice</link>."
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            "id_hash": 4474283218555766728,
            "content_hash": 4474283218555766728,
            "location": "func_fourier.xhp",
            "context": "func_fourier.xhp\npar_id121556227727948\nhelp.text",
            "note": "qwF2T",
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            "priority": 100,
            "id": 112281116,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-24-2/textscalc01/fr/?checksum=be17d8e1aa8207c8",
            "url": "https://translations.documentfoundation.org/api/units/112281116/?format=api",
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        {
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            "source": [
                "FOURIER(Array; GroupedByColumns [; Inverse [; Polar [; MinimumMagnitude]]])"
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            "target": [
                "FOURIER(matrice;groupé_par_colonne[;inverse[;polaire[;magnitude_minimum]]])"
            ],
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            "content_hash": 226983211577630113,
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            "priority": 100,
            "id": 112281117,
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        {
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            "source": [
                "<emph>Array</emph> is a 2 x N or N x 2 range representing an array of complex number to be transformed, where N is the length of the array. The array represents the real and imaginary parts of the data."
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            "target": [
                "<emph>Matrice</emph> est une plage 2 x N ou N x 2 représentant une matrice de nombre complexe à transformer, où N est la longueur de la matrice. La matrice représente les parts réelle et imaginaire de la donnée."
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            "note": "ELSK7",
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            "priority": 100,
            "id": 112281118,
            "web_url": "https://translations.documentfoundation.org/translate/libo_help-24-2/textscalc01/fr/?checksum=ee2fe138186dbfc0",
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        {
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            "source": [
                "<emph>GroupedByColumns</emph> is a logical (TRUE or FALSE, 1 or 0) argument. When TRUE the array is grouped by columns where the first column contains the real part of the complex number and the second columns contains the imaginary part of the complex number. When FALSE, the first row contains the real part of the complex number and the second row contains the imaginary part of the complex number. If there is only 1 column (row), the input sequence is treated as purely real."
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                "<emph>Groupé_par_colonnes</emph> est un argument logique (VRAI ou FAUX, 1 ou 0). Lorsque VRAI, la matrice est groupé par colonnes om la première colonne contient la part réelle d'un nombre complexe et la seconde colonne contient la part imaginaire du nombre complexe. Lorsque FAUX, la première ligne contient la part réelle du nombre complexe et la seconde ligne contient la part imaginaire du nombre complexe. S'il n'y a qu'une colonne (ligne), la séquence de saisie est traitée comme purement réelle."
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            "id": 112281119,
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            "source": [
                "<emph>Inverse</emph> is an optional logical (TRUE or FALSE, 1 or 0) argument. When TRUE, calculates the inverse Discrete Fourier Transform. The default value is FALSE."
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                "<emph>Inverse</emph> est un argument logique (VRAI ou FAUX, 1 ou 0) facultatif. Lorsque VRAI, il calcule l'inverse de la Transformation Discrète de Fourier. La valeur par défaut est FAUX."
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