{"id":4482,"date":"2026-07-29T16:57:31","date_gmt":"2026-07-29T14:57:31","guid":{"rendered":"https:\/\/ellistat.com\/?post_type=guide-dutilisateur&#038;p=4482"},"modified":"2026-11-09T15:07:58","modified_gmt":"2026-11-09T14:07:58","slug":"analisis-factorial-de-datos-mixtos-famd","status":"publish","type":"guide-dutilisateur","link":"https:\/\/ellistat.com\/es\/guide-dutilisateur\/analyse-factorielle-de-donnees-mixtes-famd\/","title":{"rendered":"An\u00e1lisis factorial de datos mixtos (AFDM\/FAMD)"},"content":{"rendered":"<p class=\"wp-block-paragraph\">La FAMD acepta&nbsp;<strong>al mismo tiempo<\/strong>&nbsp;variables cuantitativas y cualitativas. Las pantallas, las pesta\u00f1as y las reglas de lectura son las de la ACP.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Lo que a\u00f1ade: los&nbsp;<strong>modalidades de las variables cualitativas activas<\/strong>&nbsp;se sit\u00faan en el gr\u00e1fico, junto a las flechas de las variables cuantitativas. De este modo, se aprecia de un solo vistazo que una modalidad determinada apunta en la direcci\u00f3n de una medida concreta.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Dos aspectos a tener en cuenta:<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2 Una modalidad con un n\u00famero muy reducido de casos se sit\u00faa, por definici\u00f3n, lejos del centro y, por lo tanto, tiene un gran peso en el eje. Es recomendable agrupar las modalidades poco frecuentes antes de realizar el an\u00e1lisis.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\u21d2 Cada variable cualitativa tiene tanto peso como el n\u00famero de modalidades que presenta. Una variable con ocho modalidades, frente a variables binarias, dominar\u00e1 los ejes.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">\ud83d\udca1 Caso particular: si solo seleccionas variables cuantitativas, la FAMD&nbsp;<strong>es<\/strong>&nbsp;la ACP, con una diferencia m\u00ednima.<\/p>","protected":false},"featured_media":0,"menu_order":50,"template":"","meta":{"_acf_changed":false},"menu-guide-dutilisateur":[40],"class_list":["post-4482","guide-dutilisateur","type-guide-dutilisateur","status-publish","hentry","menu-guide-dutilisateur-6-statistiques-multivariees"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v28.8 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Analyse factorielle de donn\u00e9es mixtes (AFDM\/FAMD) - Ellistat<\/title>\n<meta name=\"description\" content=\"Analyser ensemble des variables quantitatives et qualitatives avec l&#039;analyse factorielle de donn\u00e9es mixtes (AFDM \/ FAMD).\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ellistat.com\/es\/guia-del-usuario\/analisis-factorial-de-datos-mixtos-famd\/\" \/>\n<meta property=\"og:locale\" content=\"es_ES\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Analyse factorielle de donn\u00e9es mixtes (AFDM\/FAMD) - 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