{"id":5472,"date":"2023-04-06T16:21:19","date_gmt":"2023-04-06T14:21:19","guid":{"rendered":"https:\/\/francestat.com\/?page_id=5472"},"modified":"2023-08-31T11:16:09","modified_gmt":"2023-08-31T09:16:09","slug":"centurion19502","status":"publish","type":"page","link":"https:\/\/francestat.com\/index.php\/centurion19502\/","title":{"rendered":"Centurion19502"},"content":{"rendered":"

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Ajouts et am\u00e9liorations de la version 19.5.02<\/h2><\/div><\/div>[vc_empty_space][\/vc_column][\/vc_row][vc_row][vc_column][vc_column_text]<\/p>\r\n

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[\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][vc_empty_space][vc_btn title=\u00a0\u00bbStatgraphics Centurion 19″ size=\u00a0\u00bbsm\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Ffrancestat.com%2Findex.php%2Fcenturion19%2F|title:Statgraphics%20Centurion%2019″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680791253955{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

D\u2019importants ajouts et des am\u00e9liorations significatives ont \u00e9t\u00e9 r\u00e9alis\u00e9s dans de nombreuses proc\u00e9dures du logiciel et deux nouvelles proc\u00e9dures sont ajout\u00e9es.<\/p>\n

    \n
  • R\u00e9gression ordinale pour les variables \u00e0 expliquer ordinales<\/li>\n
  • R\u00e9gression logistique multinomiale pour les variables \u00e0 expliquer cat\u00e9gorielles non ordinales<\/li>\n
  • Graphique treillis ajout\u00e9 dans de nombreuses proc\u00e9dures de r\u00e9gression<\/li>\n
  • Ombrage des r\u00e9gions de confiance dans de nombreuses proc\u00e9dures de r\u00e9gression<\/li>\n
  • Possibilit\u00e9 de r\u00e9ordonner les niveaux des facteurs dans de nombreuses proc\u00e9dures de r\u00e9gression<\/li>\n
  • Nouveaux tests d\u2019ind\u00e9pendance pour les tableaux de contingence<\/li>\n
  • Lettres utilis\u00e9es pour indiquer les groupes homog\u00e8nes dans les proc\u00e9dures mettant en \u0153uvre les tests des \u00e9tendues multiples<\/li>\n
  • Entr\u00e9e des donn\u00e9es sous la forme de valeurs ou de comptages dans les analyses \u00e0 une variable<\/li>\n
  • Option pour afficher verticalement les libell\u00e9s dans tous les diagrammes en b\u00e2tons<\/li>\n
  • Message d\u2019alerte avant l\u2019expiration de la licence annuelle<\/li>\n<\/ul>\n

    [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][vc_btn title=\u00a0\u00bbPlus d’informations\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Fwww.statgraphics.com%2Fblog%2Fordinal-regressionr|title:R%C3%A9gression%20ordinale\u00a0\u00bb][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680791126290{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    R\u00e9gression ordinale<\/strong><\/p>\n

    Une nouvelle proc\u00e9dure a \u00e9t\u00e9 ajout\u00e9e pour ajuster des mod\u00e8les dans lesquels la variable \u00e0 expliquer est ordinale comme dans les donn\u00e9es ci-dessous\u00a0:<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5478″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309516505{background-color: #f7f7f7 !important;}\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1680791836346{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Un des r\u00e9sultats de cette proc\u00e9dure est un graphique montrant comment la probabilit\u00e9 de chaque niveau de la variable \u00e0 expliquer se modifie en fonction des valeurs d\u2019une ou de plusieurs variables explicatives, qui peuvent \u00eatre quantitatives ou qualitatives.<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5506″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1680791847257{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Les options d\u2019ajustement du mod\u00e8le incluent la s\u00e9lection pas \u00e0 pas des variables :<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5482″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309654477{background-color: #f7f7f7 !important;}\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][vc_btn title=\u00a0\u00bbPlus d’informations\u00a0\u00bb align=\u00a0\u00bbcenter\u00a0\u00bb link=\u00a0\u00bburl:https%3A%2F%2Fwww.statgraphics.com%2Fblog%2Fordinal-regressionr|title:R%C3%A9gression%20multinomiale\u00a0\u00bb][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680791535948{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    R\u00e9gression logistique multinomiale<\/strong><\/p>\n

    Une autre nouvelle proc\u00e9dure permet d\u2019ajuster des mod\u00e8les de r\u00e9gression dans le cas o\u00f9 la variable \u00e0 expliquer est cat\u00e9gorielle mais pas ordinale comme montr\u00e9 dans les donn\u00e9es ci-dessous :<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5484″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309724607{background-color: #f7f7f7 !important;}\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1680791868592{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Pour de telles donn\u00e9es, les mod\u00e8les affichent comment les probabilit\u00e9s de chaque niveau de la variable \u00e0 expliquer varient en fonction des variables \u00e0 expliquer.<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5518″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680792066491{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Graphique treillis pour les proc\u00e9dures Mod\u00e8le lin\u00e9aire g\u00e9n\u00e9ral, R\u00e9gression non lin\u00e9aire, R\u00e9gression logistique, Analyse Probit, R\u00e9gression de Poisson, R\u00e9gression binomiale n\u00e9gative, R\u00e9gression \u00e0 inflation de 0, R\u00e9gression sur donn\u00e9es de survie, Risques proportionnels de Cox et R\u00e9gression quantile<\/strong><\/p>\n

    Les graphiques treillis ont \u00e9t\u00e9 ajout\u00e9s \u00e0 chacune de ces proc\u00e9dures pour afficher la variable de r\u00e9ponse en fonction de 2 variables ou plus simultan\u00e9ment. Un graphique treillis typique est montr\u00e9 ci-dessous :<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5520″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680792156003{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Ombrage des r\u00e9gions de confiance pour les proc\u00e9dures R\u00e9gression de Poisson, R\u00e9gression binomiale n\u00e9gative, R\u00e9gression logistique et Analyse Probit<\/strong><\/p>\n

    Ombrer les r\u00e9gions de confiance est maintenant possible dans le graphique du mod\u00e8le ajust\u00e9.<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5523″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680792410335{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Possibilit\u00e9 de r\u00e9ordonner les niveaux des facteurs<\/strong><\/p>\n

    Les niveaux des facteurs peuvent \u00eatre r\u00e9ordonn\u00e9s en utilisant la souris dans les proc\u00e9dures suppl\u00e9mentaires suivantes : R\u00e9gression de Poisson, R\u00e9gression binomiale n\u00e9gative, R\u00e9gression \u00e0 inflation de 0, R\u00e9gression logistique, Analyse Probit, R\u00e9gression quantile, R\u00e9gression ordinale, R\u00e9gression logistique multinomiale.<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5498″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309749047{background-color: #f7f7f7 !important;}\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1680792486249{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Nouveaux tests d\u2019ind\u00e9pendance pour les tableaux de contingence<\/strong><\/p>\n

    Deux nouveaux tests d\u2019ind\u00e9pendance ont \u00e9t\u00e9 ajout\u00e9s sp\u00e9cialement con\u00e7us pour d\u00e9terminer s\u2019il y a une tendance significative dans les niveaux d\u2019un facteur ordinal : le test U de Mann-Whitney (pour deux niveaux) et le test H de Kruskal-Wallis (pour plus de deux niveaux).<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5500″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309764027{background-color: #f7f7f7 !important;}\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1681291054177{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Lettres pour indiquer les groupes homog\u00e8nes dans les proc\u00e9dures ANOVA \u00e0 un facteur, Comparer plusieurs \u00e9chantillons, ANOVA \u00e0 plusieurs facteurs et Mod\u00e8le lin\u00e9aire g\u00e9n\u00e9ral (GLM)<\/strong><\/p>\n

    Le tableau g\u00e9n\u00e9r\u00e9 par les tests des \u00e9tendues multiples affiche maintenant des lettres plut\u00f4t que des X pour indiquer chacun des groupes homog\u00e8nes.<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5526″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309860360{background-color: #f7f7f7 !important;}\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1681291924111{background-color: #f7f7f7 !important;}\u00a0\u00bb]<\/p>\n

    Les lettres peuvent \u00e9galement \u00eatre ajout\u00e9es dans le graphique des moyennes pour indiquer les groupes homog\u00e8nes dans lesquels les moyennes des niveaux ont \u00e9t\u00e9 regroup\u00e9es. Par exemple, le graphique ci-dessous indique que les mat\u00e9riaux M4 et M3 appartiennent au m\u00eame groupe alors que le mat\u00e9riau M1 appartient \u00e0 un deuxi\u00e8me groupe. Aucune conclusion n\u2019est donn\u00e9e pour le mat\u00e9riau M2 qui peut appartenir \u00e0 chacun des groupes.<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5527″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1681312418576{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Entr\u00e9e des donn\u00e9es pour les proc\u00e9dures Analyse \u00e0 une variable et SnapStat \u2013 Analyser un \u00e9chantillon<\/strong><\/p>\n

    La bo\u00eete de dialogue d\u2019entr\u00e9e des donn\u00e9es de ces proc\u00e9dures a \u00e9t\u00e9 enrichie pour permettre l\u2019entr\u00e9e de donn\u00e9es bas\u00e9es sur des valeurs et des comptages. Par exemple, consid\u00e9rons le tableau ci-dessous indiquant combien de tentatives ont \u00e9t\u00e9 n\u00e9cessaires pour deviner le mot pr\u00e9sent\u00e9 par le jeu de lettres \u00ab\u00a0Wordle\u00a0\u00bb pour un \u00e9chantillon de 300 jeux :<\/p>\n

    Nombre de tentatives\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 Nombre de jeux<\/p>\n

    1\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 0<\/p>\n

    2\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 5<\/p>\n

    3\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 43<\/p>\n

    4\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 125<\/p>\n

    5\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 93<\/p>\n

    6\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 32<\/p>\n

    7\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 2<\/p>\n

    Pour calculer des statistiques comme le nombre moyen de tentatives, la bo\u00eete de dialogue doit \u00eatre renseign\u00e9e de la fa\u00e7on suivante :<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5529″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309889451{background-color: #f7f7f7 !important;}\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1681291907153{background-color: #f7f7f7 !important;}\u00a0\u00bb]<\/p>\n

    Cela rend l\u2019analyse plus facile \u00e0 mettre en \u0153uvre que s\u2019il \u00e9tait n\u00e9cessaire d\u2019entrer REP(Tentatives ; Jeux)<\/em> dans le champ Donn\u00e9es ainsi que d\u2019am\u00e9liorer les libell\u00e9s dans les tableaux et les graphiques.<\/p>\n

    [\/vc_column_text][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1681292077240{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Affichage des libell\u00e9s pour les proc\u00e9dures Diagramme en b\u00e2tons, Diagramme multiple en b\u00e2tons, Tri \u00e0 plat, Tri crois\u00e9 et Analyse de Pareto<\/strong><\/p>\n

    Les diagrammes en b\u00e2tons cr\u00e9\u00e9s par plusieurs proc\u00e9dures permettent maintenant d\u2019afficher les libell\u00e9s avec une orientation verticale comme montr\u00e9 dans le graphique ci-dessous\u00a0:<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5534″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb][vc_column_text css=\u00a0\u00bb.vc_custom_1681309208168{background-color: #f7f7f7 !important;}\u00a0\u00bb]<\/p>\n

    Cela est rendu possible gr\u00e2ce au nouveau bouton \u00ab\u00a0Tout\u00a0\u00bb de l\u2019onglet \u00ab\u00a0Textes\u00a0\u00bb de la bo\u00eete de dialogue \u00ab\u00a0Options graphiques\u00a0\u00bb qui permet de donner une orientation verticale \u00e0 tous les libell\u00e9s en un clic :<\/p>\n

    [\/vc_column_text][vc_single_image image=\u00a0\u00bb5535″ img_size=\u00a0\u00bblarge\u00a0\u00bb alignment=\u00a0\u00bbcenter\u00a0\u00bb css=\u00a0\u00bb.vc_custom_1681309980268{background-color: #f7f7f7 !important;}\u00a0\u00bb][\/vc_column][\/vc_row][vc_row][vc_column width=\u00a0\u00bb1\/4″][\/vc_column][vc_column width=\u00a0\u00bb3\/4″][vc_column_text css=\u00a0\u00bb.vc_custom_1681309301344{background-color: #f4f4f4 !important;}\u00a0\u00bb]<\/p>\n

    Message avant l\u2019expiration de la licence annuelle<\/strong><\/p>\n

    Un message d’avertissement s’affiche d\u00e9sormais lorsque la date d’expiration de la licence est dans 30 jours ou moins.<\/p>\n

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