{"id":2648,"date":"2024-10-09T10:23:09","date_gmt":"2024-10-09T08:23:09","guid":{"rendered":"https:\/\/clooma.ai\/?post_type=guide-dutilisateur&#038;p=2648"},"modified":"2025-04-30T15:02:19","modified_gmt":"2025-04-30T13:02:19","slug":"06-analisis","status":"publish","type":"guide-dutilisateur","link":"https:\/\/clooma.ai\/es\/guia-del-usuario\/06-analisis\/","title":{"rendered":"An\u00e1lisis de los resultados"},"content":{"rendered":"<p>El an\u00e1lisis de los resultados de un dise\u00f1o de experimento es un paso crucial para comprender y optimizar los procesos industriales. El m\u00f3dulo <a href=\"https:\/\/clooma.ai\/es\/soluciones-de-analisis-de-datos\/\">An\u00e1lisis de datos de<strong>Ellistat<\/strong><\/a>El software de An\u00e1lisis de Datos de Ellistat ofrece un men\u00fa de an\u00e1lisis potente e intuitivo para interpretar los resultados del Dise\u00f1o de Experimentos (DOE). El men\u00fa de an\u00e1lisis del software de An\u00e1lisis de Datos Ellistat le permite explorar los efectos de los factores, modelar las respuestas y optimizar las condiciones de operaci\u00f3n. A continuaci\u00f3n se ofrece una explicaci\u00f3n detallada del men\u00fa de an\u00e1lisis del programa de An\u00e1lisis de datos Ellistat.<\/p>\n\n\n\n<p>Para entender c\u00f3mo funciona el men\u00fa \"An\u00e1lisis\". Utilizaremos el siguiente conjunto de datos: <a href=\"https:\/\/www.notion.so\/Donn-e-DOE-Taguchi-6b39e9cb6008496cbbdf4ec650ebf164?pvs=21\">Datos Taguchi DOE&nbsp;<\/a><\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-118-1024x513.png\" alt=\"\" class=\"wp-image-2649\"\/><\/figure><\/div>\n\n\n<ul class=\"wp-block-list\">\n<li>Pulse en el men\u00fa \"<strong>DOE<\/strong>\" A continuaci\u00f3n, haga clic en el mapa<strong>Analizar el DOE<\/strong>.<\/li>\n\n\n\n<li>En el&nbsp;<strong>zona 1<\/strong>puede elegir el nombre de la respuesta Y seleccionada en el&nbsp;<strong>zona 2,<\/strong>&nbsp;elegir el m\u00e9todo de c\u00e1lculo del modelo o cambiar las fichas de resultados.<\/li>\n\n\n\n<li>En&nbsp;<strong>zona 2,<\/strong>&nbsp;puedes elegir la respuesta Y y los factores X. \ud83d\udcdd: Elige \"NC(%)\" como Y y \"temperatura\", \"concentraci\u00f3n\" y \"velocidad\" como X.<\/li>\n\n\n\n<li>En&nbsp;<strong>zona 2,<\/strong>&nbsp;son informes, tablas o gr\u00e1ficos. El contenido de la zona 3 depender\u00e1 de la pesta\u00f1a seleccionada en el men\u00fa&nbsp;<strong>zona 1.<\/strong><\/li>\n<\/ul>\n\n\n\n<p class=\"has-very-light-gray-background-color has-background\">\ud83d\udca1 La zona 1 contiene varias pesta\u00f1as: \u21d2 Ficha \"Coeficiente\": el diagrama siguiente resume los datos presentados.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-119-1024x456.png\" alt=\"\" class=\"wp-image-2650\"\/><\/figure><\/div>\n\n\n<p>\u21d2 Ficha \"Gr\u00e1ficos de efectos o gr\u00e1ficos Taguchi\": estos gr\u00e1ficos s\u00f3lo se obtienen en el caso de un dise\u00f1o experimental Taguchi. Muestran los efectos de los factores y las interacciones.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-120-1024x506.png\" alt=\"\" class=\"wp-image-2651\"\/><\/figure><\/div>\n\n\n<p>\u21d2 Ficha \"Gr\u00e1fico modelo\/observaciones\": permite comparar gr\u00e1ficamente los valores obtenidos con el modelo y los valores observados.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-121-1024x559.png\" alt=\"\" class=\"wp-image-2652\"\/><\/figure><\/div>\n\n\n<p>\u21d2 Pesta\u00f1a \"An\u00e1lisis de residuos\": sirve para comprobar la normalidad de los residuos mediante el informe estad\u00edstico descriptivo de residuos.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-122-1024x427.png\" alt=\"\" class=\"wp-image-2653\"\/><\/figure><\/div>\n\n\n<p>\u21d2 Pesta\u00f1a \"Residuales\": Tabla con varios datos como valores residuales individuales, valores del modelo o valores observados.<\/p>\n\n\n\n<p>\u21d2 Pesta\u00f1a \"Previsi\u00f3n\": Esta herramienta permite realizar previsiones u optimizaciones mediante los men\u00fas de predicci\u00f3n (objetivo, maximizar o minimizar).<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-123-1024x440.png\" alt=\"\" class=\"wp-image-2656\"\/><\/figure><\/div>\n\n\n<p>\u21d2Pesta\u00f1a \"3D\": permite ver el modelo en 3D o en forma de gr\u00e1fico de temperatura.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-124-1024x713.png\" alt=\"\" class=\"wp-image-2655\"\/><\/figure><\/div>\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img decoding=\"async\" src=\"https:\/\/clooma.ai\/wp-content\/uploads\/Untitled-125-1024x797.png\" alt=\"\" class=\"wp-image-2654\"\/><\/figure><\/div>\n\n\n<p><\/p>","protected":false},"featured_media":0,"template":"","meta":{"_acf_changed":false},"menu-guide-dutilisateur":[24],"class_list":["post-2648","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-6-doe-plans-dexperiences"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v25.9 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Analyse des r\u00e9sultats - Clooma<\/title>\n<meta name=\"description\" content=\"Comment analyser les r\u00e9sultats d&#039;un plan d&#039;exp\u00e9rience avec Ellistat ? 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