{"id":5750,"date":"2023-09-03T15:51:16","date_gmt":"2023-09-03T13:51:16","guid":{"rendered":"https:\/\/francestat.com\/?page_id=5750"},"modified":"2024-12-02T11:14:24","modified_gmt":"2024-12-02T10:14:24","slug":"uniwin-afdm","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-afdm\/","title":{"rendered":"Uniwin – AFDM"},"content":{"rendered":"

[vc_row][vc_column]

<\/div>

UNIWIN - Analyse Factorielle de Donn\u00e9es Mixtes<\/h2><\/div><\/div>[\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’Analyse Factorielle de Donn\u00e9es Mixtes (AFDM) est une m\u00e9thode sp\u00e9cialement con\u00e7ue pour permettre l\u2019\u00e9tude simultan\u00e9e de variables quantitatives et qualitatives (donn\u00e9es dites mixtes) mesur\u00e9es sur une population d\u2019individus en tant qu\u2019\u00e9l\u00e9ments actifs dans une m\u00eame analyse.<\/p>\n

Cette analyse prend en compte les variables quantitatives comme une analyse en composantes principales norm\u00e9e (ACP) et les variables qualitatives comme une analyse des correspondances multiples (ACM).<\/p>\n

Apr\u00e8s l\u2019affichage du tableau et de l\u2019histogramme des inerties, vous pouvez choisir le nombre d\u2019axes factoriels \u00e0 extraire.<\/p>\n

Un rapport g\u00e9n\u00e9ral de synth\u00e8se est propos\u00e9 ainsi que les graphiques des cercles factoriels, des repr\u00e9sentations simultan\u00e9es des variables quantitatives et qualitatives, des plans factoriels des individus et des modalit\u00e9s.<\/p>\n

De nombreux outils d\u2019aide \u00e0 l\u2019interpr\u00e9tation sont fournis, notamment pond\u00e9rations des indicatrices des variables qualitatives, liaisons entre les variables initiales, contributions des variables \u00e0 l\u2019inertie et pour les plans factoriels les contributions et cosinus carr\u00e9s.[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=\u00a0\u00bb6381″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\n

Tableaux<\/u><\/span><\/strong><\/p>\n

 <\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n
\n

Moyennes, \u00e9carts-types et coefficients de variation des variables quantitatives<\/p>\n<\/td>\n<\/tr>\n

\n

Pond\u00e9rations des indicatrices des variables qualitatives<\/p>\n<\/td>\n<\/tr>\n

\n

Liaisons entre les variables initiales<\/p>\n<\/td>\n<\/tr>\n

\n

Tableau des inerties<\/p>\n<\/td>\n<\/tr>\n

\n

Contributions des variables \u00e0 l’inertie<\/p>\n<\/td>\n<\/tr>\n

\n

Facteurs propres<\/p>\n<\/td>\n<\/tr>\n

\n

R\u00e9sultats pour les individus<\/p>\n<\/td>\n<\/tr>\n

\n

R\u00e9sultats pour les variables quantitatives<\/p>\n<\/td>\n<\/tr>\n

\n

R\u00e9sultats pour les variables qualitatives<\/p>\n<\/td>\n<\/tr>\n

\n

Coordonn\u00e9es des modalit\u00e9s des variables qualitatives<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Graphiques<\/u><\/span><\/strong><\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
\n

Diagramme des inerties<\/p>\n<\/td>\n<\/tr>\n

\n

Cercle factoriel – Variables quantitatives (points)<\/p>\n<\/td>\n<\/tr>\n

\n

Cercle factoriel – Variables quantitatives (points + lignes)<\/p>\n<\/td>\n<\/tr>\n

\n

Repr\u00e9sentation simultan\u00e9e des variables<\/p>\n<\/td>\n<\/tr>\n

\n

Plan factoriel des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Plan factoriel des individus et des modalit\u00e9s<\/p>\n<\/td>\n<\/tr>\n

\n

Contributions des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s cumul\u00e9s des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Distances carr\u00e9es \u00e0 l’origine des individus<\/p>\n<\/td>\n<\/tr>\n

\n

Contributions des variables quantitatives<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s des variables quantitatives<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s cumul\u00e9s des variables quantitatives<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column][vc_btn title=\u00a0\u00bbConsulter la documentation compl\u00e8te\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Ffrancestat.com%2Ftelecharg%2FUniwin%2Fpdf%2FAnalyse%2520factorielle%2520de%2520donn%25e9es%2520mixtes.pdf|title:UNIWIN%20-%20AFDM\u00a0\u00bb][\/vc_column][\/vc_row]<\/p>\n","protected":false},"excerpt":{"rendered":"

[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’Analyse Factorielle de Donn\u00e9es Mixtes (AFDM) est une m\u00e9thode sp\u00e9cialement con\u00e7ue pour permettre l\u2019\u00e9tude simultan\u00e9e de variables quantitatives et qualitatives (donn\u00e9es dites mixtes) mesur\u00e9es sur une population d\u2019individus en tant qu\u2019\u00e9l\u00e9ments actifs dans une m\u00eame analyse. Cette analyse prend en compte les variables quantitatives comme une analyse en composantes principales norm\u00e9e (ACP) et les variables…<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-5750","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - AFDM - FRANCESTAT<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/francestat.com\/index.php\/uniwin-afdm\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - AFDM - FRANCESTAT\" \/>\n<meta property=\"og:description\" content=\"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’Analyse Factorielle de Donn\u00e9es Mixtes (AFDM) est une m\u00e9thode sp\u00e9cialement con\u00e7ue pour permettre l\u2019\u00e9tude simultan\u00e9e de variables quantitatives et qualitatives (donn\u00e9es dites mixtes) mesur\u00e9es sur une population d\u2019individus en tant qu\u2019\u00e9l\u00e9ments actifs dans une m\u00eame analyse. Cette analyse prend en compte les variables quantitatives comme une analyse en composantes principales norm\u00e9e (ACP) et les variables…\" \/>\n<meta property=\"og:url\" content=\"https:\/\/francestat.com\/index.php\/uniwin-afdm\/\" \/>\n<meta property=\"og:site_name\" content=\"FRANCESTAT\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-02T10:14:24+00:00\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Dur\u00e9e de lecture estim\u00e9e\" \/>\n\t<meta name=\"twitter:data1\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-afdm\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-afdm\\\/\",\"name\":\"Uniwin - AFDM - FRANCESTAT\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\"},\"datePublished\":\"2023-09-03T13:51:16+00:00\",\"dateModified\":\"2024-12-02T10:14:24+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-afdm\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-afdm\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-afdm\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/francestat.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uniwin – AFDM\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\",\"url\":\"https:\\\/\\\/francestat.com\\\/\",\"name\":\"FRANCESTAT\",\"description\":\"Logiciels, formations et services statistiques\",\"publisher\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\\\/\\\/francestat.com\\\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"fr-FR\"},{\"@type\":\"Organization\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#organization\",\"name\":\"FRANCESTAT\",\"url\":\"https:\\\/\\\/francestat.com\\\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"fr-FR\",\"@id\":\"https:\\\/\\\/francestat.com\\\/#\\\/schema\\\/logo\\\/image\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/logo_horizontal_small_francestat.jpg\",\"contentUrl\":\"https:\\\/\\\/francestat.com\\\/wp-content\\\/uploads\\\/2018\\\/05\\\/logo_horizontal_small_francestat.jpg\",\"width\":155,\"height\":51,\"caption\":\"FRANCESTAT\"},\"image\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#\\\/schema\\\/logo\\\/image\\\/\"}}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Uniwin - AFDM - FRANCESTAT","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/francestat.com\/index.php\/uniwin-afdm\/","og_locale":"fr_FR","og_type":"article","og_title":"Uniwin - AFDM - FRANCESTAT","og_description":"[vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column][vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]L’Analyse Factorielle de Donn\u00e9es Mixtes (AFDM) est une m\u00e9thode sp\u00e9cialement con\u00e7ue pour permettre l\u2019\u00e9tude simultan\u00e9e de variables quantitatives et qualitatives (donn\u00e9es dites mixtes) mesur\u00e9es sur une population d\u2019individus en tant qu\u2019\u00e9l\u00e9ments actifs dans une m\u00eame analyse. 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