{"id":5680,"date":"2023-09-03T10:58:13","date_gmt":"2023-09-03T08:58:13","guid":{"rendered":"https:\/\/francestat.com\/?page_id=5680"},"modified":"2024-12-02T10:25:35","modified_gmt":"2024-12-02T09:25:35","slug":"uniwin-acp","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/uniwin-acp\/","title":{"rendered":"Uniwin – ACP"},"content":{"rendered":"

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<\/div>

UNIWIN - Analyse en Composantes Principales<\/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]<\/p>\n

La m\u00e9thode d\u2019Analyse en Composantes Principales (ACP) permet d\u2019\u00e9tudier un tableau individus x variables dans le cas o\u00f9 toutes les variables sont quantitatives.<\/p>\n

La m\u00e9thode permet d\u2019obtenir une carte des individus en fonction de leurs proximit\u00e9s et une carte des variables en fonction de leurs corr\u00e9lations. Il est \u00e9galement possible d\u2019obtenir des repr\u00e9sentations simultan\u00e9es (Biplots).<\/p>\n

La possibilit\u00e9 d\u2019analyser des individus et de variables suppl\u00e9mentaires (quantitatives ou qualitatives) est offerte.<\/p>\n

L’analyse peut \u00eatre r\u00e9alis\u00e9e en utilisant la matrice des corr\u00e9lations de Pearson ou de Spearman, la matrice des covariances ou les donn\u00e9es brutes.<\/p>\n

Apr\u00e8s affichage 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 plans factoriels des individus, des cercles des corr\u00e9lations, du Biplot, de ceux relatifs aux individus et variables suppl\u00e9mentaires ainsi que des graphiques des contributions, des cosinus carr\u00e9s et des distances carr\u00e9es \u00e0 l\u2019origine.<\/p>\n

[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column][vc_single_image image=\u00a0\u00bb6367″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][vc_empty_space height=\u00a0\u00bb5px\u00a0\u00bb][vc_column_text]<\/p>\n

Tableaux<\/u><\/span><\/strong><\/p>\n\n\n<\/colgroup>\n\n\n\n\n\n\n\n\n\n\n
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Moyennes, \u00e9carts-types et coefficients de variation<\/p>\n<\/td>\n<\/tr>\n

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Corr\u00e9lations (Pearson, Spearman) ou covariances<\/p>\n<\/td>\n<\/tr>\n

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

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Tests de factorisation<\/p>\n<\/td>\n<\/tr>\n

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

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

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R\u00e9sultats pour les individus suppl\u00e9mentaires<\/p>\n<\/td>\n<\/tr>\n

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R\u00e9sultats pour les variables quantitatives et qualitatives suppl\u00e9mentaires<\/p>\n<\/td>\n<\/tr>\n

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Corr\u00e9lations variables quantitatives suppl\u00e9mentaires – facteurs<\/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\n\n\n\n\n\n\n
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Diagramme des inerties<\/p>\n<\/td>\n<\/tr>\n

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

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

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Cercle factoriel – Variables de base et suppl\u00e9mentaires (points)<\/p>\n<\/td>\n<\/tr>\n

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Cercle factoriel – Variables de base et suppl\u00e9mentaires (points + lignes)<\/p>\n<\/td>\n<\/tr>\n

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Plan factoriel – Individus de base<\/p>\n<\/td>\n<\/tr>\n

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Plan factoriel – Individus de base et suppl\u00e9mentaires<\/p>\n<\/td>\n<\/tr>\n

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Plan factoriel – Individus de base et variables suppl\u00e9mentaires<\/p>\n<\/td>\n<\/tr>\n

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Plan factoriel – Variables suppl\u00e9mentaires<\/p>\n<\/td>\n<\/tr>\n

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Biplot – Individus et variables de base<\/p>\n<\/td>\n<\/tr>\n

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Biplot (corr\u00e9lations) – Individus et variables de base<\/p>\n<\/td>\n<\/tr>\n

\n

Contributions – Individus de base<\/p>\n<\/td>\n<\/tr>\n

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Cosinus carr\u00e9s – Individus de base<\/p>\n<\/td>\n<\/tr>\n

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Cosinus carr\u00e9s cumul\u00e9s – Individus de base<\/p>\n<\/td>\n<\/tr>\n

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Distances carr\u00e9s \u00e0 l’origine – Individus de base<\/p>\n<\/td>\n<\/tr>\n

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Contributions \u00e0 l’inertie totale – Individus de base<\/p>\n<\/td>\n<\/tr>\n

\n

T2 de Hotelling – Individus de base<\/p>\n<\/td>\n<\/tr>\n

\n

T2 de Hotelling – Individus de base et suppl\u00e9mentaires<\/p>\n<\/td>\n<\/tr>\n

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Contributions – Variables de base<\/p>\n<\/td>\n<\/tr>\n

\n

Cosinus carr\u00e9s – Variables de base<\/p>\n<\/td>\n<\/tr>\n

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Cosinus carr\u00e9s cumul\u00e9s – Variables de base<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

[\/vc_column_text][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:http%3A%2F%2Fwww.francestat.com%2Ftelecharg%2FUniwin%2Fpdf%2FAnalyse%20en%20composantes%20principales.pdf|title:UNIWIN%20-%20ACP\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] La m\u00e9thode d\u2019Analyse en Composantes Principales (ACP) permet d\u2019\u00e9tudier un tableau individus x variables dans le cas o\u00f9 toutes les variables sont quantitatives. La m\u00e9thode permet d\u2019obtenir une carte des individus en fonction de leurs proximit\u00e9s et une carte des variables en fonction de leurs corr\u00e9lations. Il est \u00e9galement possible d\u2019obtenir des repr\u00e9sentations simultan\u00e9es…<\/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-5680","page","type-page","status-publish","hentry","description-off"],"yoast_head":"\nUniwin - ACP - 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-acp\/\" \/>\n<meta property=\"og:locale\" content=\"fr_FR\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Uniwin - ACP - 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] La m\u00e9thode d\u2019Analyse en Composantes Principales (ACP) permet d\u2019\u00e9tudier un tableau individus x variables dans le cas o\u00f9 toutes les variables sont quantitatives. 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Il est \u00e9galement possible d\u2019obtenir des repr\u00e9sentations simultan\u00e9es…\" \/>\n<meta property=\"og:url\" content=\"https:\/\/francestat.com\/index.php\/uniwin-acp\/\" \/>\n<meta property=\"og:site_name\" content=\"FRANCESTAT\" \/>\n<meta property=\"article:modified_time\" content=\"2024-12-02T09:25:35+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-acp\\\/\",\"url\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-acp\\\/\",\"name\":\"Uniwin - ACP - FRANCESTAT\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/#website\"},\"datePublished\":\"2023-09-03T08:58:13+00:00\",\"dateModified\":\"2024-12-02T09:25:35+00:00\",\"breadcrumb\":{\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-acp\\\/#breadcrumb\"},\"inLanguage\":\"fr-FR\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-acp\\\/\"]}]},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\\\/\\\/francestat.com\\\/index.php\\\/uniwin-acp\\\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Accueil\",\"item\":\"https:\\\/\\\/francestat.com\\\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Uniwin – ACP\"}]},{\"@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 - ACP - 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-acp\/","og_locale":"fr_FR","og_type":"article","og_title":"Uniwin - ACP - 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] La m\u00e9thode d\u2019Analyse en Composantes Principales (ACP) permet d\u2019\u00e9tudier un tableau individus x variables dans le cas o\u00f9 toutes les variables sont quantitatives. 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