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 105     <p class="Standard">&nbsp;</p>
 106     <p class="Standard">&nbsp;</p>
 107     <p class="Standard">&nbsp;</p>
 108     <p class="Standard">&nbsp;</p>
 109     <p class="Standard">&nbsp;</p>
 110     <p class="Standard">&nbsp;</p>
 111     <p class="Standard">&nbsp;</p>
 112     <p class="Standard">&nbsp;</p>
 113     <p class="Standard">&nbsp;</p>
 114     <p class="Standard">&nbsp;</p>
 115     <p class="Standard">&nbsp;</p>
 116     <p class="Standard">&nbsp;</p>
 117     <p class="Standard">&nbsp;</p>
 118     <p class="P1">Documentation Iramuteq</p>
 119     <p class="P2">&nbsp;</p>
 120     <p class="P2">version 0.3 alpha 3</p>
 121     <p class="P1">&nbsp;</p>
 122     <p class="P1">&nbsp;</p>
 123     <p class="P1">Manuel utilisateur</p>
 124     <p class="P1">&nbsp;</p>
 125     <p class="P2">&nbsp;</p>
 126     <p class="P1">&nbsp;</p>
 127     <p class="P2">&nbsp;</p>
 128     <p class="P3">&nbsp;</p>
 129     <p class="P3">&nbsp;</p>
 130     <p class="P2">&nbsp;</p>
 131     <p class="P2">&nbsp;</p>
 132     <p class="P2">&nbsp;</p>
 133     <p class="P2">&nbsp;</p>
 134     <p class="P2">&nbsp;</p>
 135     <p class="P2">&nbsp;</p>
 136     <p class="P2">&nbsp;</p>
 137     <p class="P2">&nbsp;</p>
 138     <p class="P2">&nbsp;</p>
 139     <p class="P2">&nbsp;</p>
 140     <p class="P2">&nbsp;</p>
 141     <p class="P2">&nbsp;</p>
 142     <p class="P2">&nbsp;</p>
 143     <p class="P2">&nbsp;</p>
 144     <p class="P2">&nbsp;</p>
 145     <p class="P2">&nbsp;</p>
 146     <p class="P2">&nbsp;</p>
 147     <p class="P2">&nbsp;</p>
 148     <p class="P2">&nbsp;</p>
 149     <p class="P2">&nbsp;</p>
 150     <p class="P2">&nbsp;</p>
 151     <p class="P2">Pierre Ratinaud</p>
 152     <p class="P2">&nbsp;</p>
 153     <p class="P2">Licence GNU FDL</p>
 154     <p class="P6">&nbsp;</p>
 155     <p class="Standard" />
 156     <br />
 157     <p class="Standard"><br />
 158     </p>
 159
 160
 161     <p class="Standard">Table des matières</p>
 162 <p class="Standard"><br />
 163 </p>
 164 <ol id="mozToc">
 165 <!--mozToc h1 1 h2 2 h3 3 h4 4 h5 5 h6 6--><li><a href="#mozTocId231043"> 1 Présentation d'iramuteq</a><ol><li><a href="#mozTocId157746"> 1.1 R</a></li><li><a href="#mozTocId29900"> 1.2 Python</a></li><li><a href="#mozTocId153508"> 1.3 Lexique 3</a></li></ol></li><li><a href="#mozTocId661068"> 2 Analyses de textes</a><ol><li><a href="#mozTocId950051"> 2.1 Format des données en
 166       entrée</a></li><li><a href="#mozTocId871444"> 2.2 Ouverture d'un fichier
 167       texte</a></li><li><a href="#mozTocId64024"> 2.3 Traitements commun aux
 168       analyses</a><ol><li><a href="#mozTocId315920"> 2.3.1 Nettoyage 1</a></li><li><a href="#mozTocId504939"> 2.3.2 Dictionnaire des
 169       expressions</a></li><li><a href="#mozTocId390887"> 2.3.3 Nettoyage 2</a></li><li><a href="#mozTocId326141"> 2.3.4 Lemmatisation</a></li></ol></li><li><a href="#mozTocId248100"> 2.4 Statistiques
 170       textuelles</a><ol><li><a href="#mozTocId561003"> 2.4.1 Description</a></li><li><a href="#mozTocId915616"> 2.4.2 Résultats</a></li><li><a href="#mozTocId719856"> 2.4.3 Fichiers en sortie</a></li></ol></li><li><a href="#mozTocId743878"> 2.5 Comme Lexico</a><ol><li><a href="#mozTocId525259"> 2.5.1 Options</a></li><li><a href="#mozTocId476251"> 2.5.2 Résultats</a></li></ol></li><li><a href="#mozTocId31410"> 2.6 AFC sur UCI</a><ol><li><a href="#mozTocId48971"> 2.6.1 Description</a></li><li><a href="#mozTocId337754"> 2.6.2 Options</a></li><li><a href="#mozTocId393228"> 2.6.3 Résultats</a></li></ol></li><li><a href="#mozTocId225085"> 2.7 Classification</a><ol><li><a href="#mozTocId632839"> 2.7.1 Méthode ALCESTE</a><ol><li><a href="#mozTocId750813"> 2.7.1.1 Description</a></li><li><a href="#mozTocId938564"> 2.7.1.2 Options</a></li><li><a href="#mozTocId2879"> 2.7.1.3 Résultats</a><ol><li><a href="#mozTocId161663"> 2.7.1.3.1 Options des
 171       profils</a></li></ol></li><li><a href="#mozTocId271411"> 2.7.1.4 Fichiers en sortie</a></li></ol></li><li><a href="#mozTocId175031"> 2.7.2 Par matrice des
 172       distances</a></li></ol></li></ol></li><li><a href="#mozTocId124043"> 3 Analyses de tableaux de
 173       données</a><ol><li><a href="#mozTocId503422"> 3.1 Format des données en
 174       entrée</a></li><li><a href="#mozTocId613717"> 3.2 Fréquences</a></li><li><a href="#mozTocId431367"> 3.3 Chi 2</a></li><li><a href="#mozTocId783214"> 3.4 Classification</a></li><li><a href="#mozTocId898016"> 3.5 Par matrice des
 175       distances</a><ol><li><a href="#mozTocId13786"> 3.5.1 Méthode ALCESTE</a></li></ol></li><li><a href="#mozTocId384874"> 3.6 AFCM</a></li><li><a href="#mozTocId678901"> 3.7 Graphes</a></li></ol></li><li><a href="#mozTocId891220"> 4 Bibliographie</a></li><li><a href="#mozTocId169474"> 5 Annexes</a></li>
 176 </ol>
 177 <p class="Standard">&nbsp;</p>
 178
 179     <h1 class="P11"><a class="mozTocH1" name="mozTocId231043" /><a class="mozTocH1" id="mozTocId873172" /><a id="a__1__Présentation_d'iramuteq"><span style="margin-right: 0.381cm;"> 1 </span></a>Présentation d'iramuteq</h1>
 180     <p class="Standard">&nbsp;</p>
 181     <p class="Standard">Iramuteq est un logiciel d'analyse de textes et de
 182       tableaux de données. Il s'appuie sur le logiciel de statistique R (<a href="http://www.r-project.org/">http://www.r-project.org</a>),
 183       sur le langage python (<a href="http://www.python.org/">http://www.python.org</a>)
 184       et sur la base de données lexicales Lexique (<a href="http://www.lexique.org/">http://www.lexique.org</a>).</p>
 185     <p class="Standard">&nbsp;</p>
 186     <p class="Standard">&nbsp;</p>
 187     <p class="P7">ATTENTION</p>
 188     <p class="P7">&nbsp;</p>
 189     <p class="warning">Iramuteq est en cours de développement. Regardez les
 190       informations disponibles sur la page <a href="http://repere.no-ip.org/logiciel/iramuteq">http://repere.no-ip.org/logiciel/iramuteq</a>
 191       pour connaître la fiabilité des différentes analyses.</p>
 192     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId157746" /><a class="mozTocH2" id="mozTocId434049" /><a id="a__1_1__R"><span style="margin-right: 0.381cm;"> 1.1 </span></a>R</h2>
 193     <p class="Standard">&nbsp;</p>
 194     <p class="Standard"><a href="http://www.r-project.org/">http://www.r-project.org</a></p>
 195     <p class="Standard">&nbsp;</p>
 196     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId29900" /><a class="mozTocH2" id="mozTocId919997" /><a id="a__1_2__Python"><span style="margin-right: 0.381cm;"> 1.2 </span></a>Python</h2>
 197     <p class="Standard">&nbsp;</p>
 198     <p class="Standard"><a href="http://www.python.org/">http://www.python.org</a></p>
 199     <p class="Standard">&nbsp;</p>
 200     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId153508" /><a class="mozTocH2" id="mozTocId178164" /><a id="a__1_3__Lexique_3"><span style="margin-right: 0.381cm;"> 1.3 </span></a>Lexique 3</h2>
 201     <p class="Standard">&nbsp;</p>
 202     <p class="Standard"><a href="http://www.lexique.org/">http://www.lexique.org</a></p>
 203     <p class="Standard">&nbsp;</p>
 204     <h1 class="Heading_20_1"><a class="mozTocH1" name="mozTocId661068" /><a class="mozTocH1" id="mozTocId276652" /><a id="a__2__Analyses_de_textes"><span style="margin-right: 0.381cm;"> 2 </span></a>Analyses de textes</h1>
 205     <p class="Standard">&nbsp;</p>
 206     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId950051" /><a class="mozTocH2" id="mozTocId811343" /><a id="a__2_1__Format_des_données_en_entrée"><span style="margin-right: 0.381cm;"> 2.1 </span></a>Format des données en
 207       entrée</h2>
 208     <p class="Standard">&nbsp;</p>
 209     <p class="Text_20_body">Les fichiers d'entrée doivent être au format texte
 210       brut (.txt) et respecter les règles de formatage des corpus ALCESTE. </p>
 211     <p class="Text_20_body">Dans ce formatage, l'unité de base est appelée
 212       «&nbsp;unité de contexte initiale&nbsp;» (UCI). Une UCI peu représenter un
 213       entretien, un article, un livre ou tout autre type de documents. Un corpus
 214       peut contenir une ou plusieurs UCI (mais au minimum une). </p>
 215     <p class="Text_20_body"><br />
 216       Les UCI sont introduites par quatre étoiles (****) suivies d'une série de
 217       variables étoilées séparées par un espace.</p>
 218     <!--Next 'div' was a 'text:p'.-->
 219     <div class="note">
 220       <!--Next 'div' is a draw:frame.-->
 221       <div style="padding: 0pt; height: 0.534cm; width: 0.496cm; float: left; position: relative; left: -0.499cm;" class="fr1" id="images1"><img style="height: 0.534cm; width: 0.496cm;" alt="" src="data:image/*;base64,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" /></div>
 222       <!--Next 'div' added for floating.-->
 223       <div style="position: relative; left: -0.499cm;"> Une uci doit
 224         obligatoirement avoir au moins une variable étoilée</div>
 225     </div>
 226     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 227     <p class="Text_20_body">Il est possible de placer des variables étoilées à
 228       l'intérieur des corpus en les introduisant en début de ligne par un tiret
 229       et une étoile (-*). La ligne ne doit contenir que cette variable. </p>
 230     <p class="Text_20_body">Il est possible d'introduire dans le corps du texte
 231       des formes qui seront traitées comme des variables étoilées. Il faut alors
 232       que ces formes commencent et se terminent par un _.&nbsp;:</p>
 233     <p class="Text_20_body">Exemple</p>
 234     <p class="exemple">texte texte _rire_ texte texte texte</p>
 235     <p class="Text_20_body">&nbsp;</p>
 236     <p class="Text_20_body">Le texte contient, de préférence, les caractères de
 237       ponctuations.</p>
 238     <p class="Standard">&nbsp;</p>
 239     <p class="Text_20_body">Exemple d'un corpus sans thématique :</p>
 240     <p class="exemple_borderStart">**** *var1_1 *var2_2</p>
 241     <p class="exemple">texte texte texte texte texte texte texte texte texte
 242       texte texte texte texte texte texte texte texte &nbsp;texte texte texte
 243       texte texte texte texte texte texte texte texte texte texte texte texte
 244       texte texte &nbsp;texte texte texte texte texte texte texte texte texte
 245       texte texte texte texte texte texte texte texte &nbsp;texte texte texte
 246       texte texte texte texte texte texte texte texte &nbsp;texte texte texte
 247       texte texte texte texte texte texte texte texte texte texte texte texte
 248       texte texte &nbsp;texte texte texte texte texte texte texte texte texte
 249       texte texte texte texte texte texte texte texte &nbsp;texte texte texte
 250       texte texte texte texte texte texte texte texte texte texte texte </p>
 251     <p class="exemple" />
 252     <p class="exemple">**** *var1_2 *var2_3</p>
 253     <p class="exemple_borderEnd">texte texte texte texte texte texte texte texte
 254       texte texte texte texte texte texte texte texte texte &nbsp;texte texte
 255       texte texte texte texte texte texte texte texte texte texte texte texte
 256       texte texte texte &nbsp;texte texte texte texte texte texte texte texte
 257       texte texte texte texte texte texte texte texte texte &nbsp;texte texte
 258       texte texte texte texte texte texte texte texte texte &nbsp;texte texte
 259       texte texte texte texte texte texte texte texte texte texte texte texte
 260       texte texte texte &nbsp;texte texte texte texte texte texte texte texte
 261       texte texte texte texte texte texte texte texte texte &nbsp;texte texte
 262       texte </p>
 263     <p class="Text_20_body">&nbsp;</p>
 264     <p class="Text_20_body">Exemple d'un corpus avec thématique&nbsp;: </p>
 265     <p class="exemple_borderStart">**** *var1_1 *var2_2</p>
 266     <p class="exemple" />
 267     <p class="exemple">-*thematique1</p>
 268     <p class="exemple">texte texte texte texte texte texte texte texte texte
 269       texte texte texte texte texte texte texte texte texte texte texte texte
 270       texte texte texte texte texte texte texte texte texte texte texte texte
 271       texte texte texte texte texte texte texte texte texte texte texte texte
 272       texte texte texte texte texte texte texte texte texte texte texte texte
 273       texte texte texte texte texte</p>
 274     <p class="exemple" />
 275     <p class="exemple">-*thematique2</p>
 276     <p class="exemple">texte texte texte texte texte texte texte texte texte
 277       texte texte texte texte texte texte texte texte texte texte texte texte
 278       texte texte texte texte texte texte texte texte texte texte texte texte
 279       texte texte texte texte texte texte texte texte texte texte texte texte
 280       texte texte texte texte texte texte texte texte texte texte texte texte
 281       texte texte texte texte texte</p>
 282     <p class="exemple" />
 283     <p class="exemple">**** *var1_2 *var2_3</p>
 284     <p class="exemple" />
 285     <p class="exemple">-*thematique1</p>
 286     <p class="exemple">texte texte texte texte texte texte texte texte texte
 287       texte texte texte texte texte texte texte texte texte texte texte texte
 288       texte texte texte texte texte texte texte texte texte texte texte texte
 289       texte texte texte texte texte texte texte texte texte texte texte texte
 290       texte texte texte texte texte texte texte texte texte texte texte texte
 291       texte texte texte texte texte</p>
 292     <p class="exemple" />
 293     <p class="exemple">-*thematique2</p>
 294     <p class="exemple_borderEnd">texte texte texte texte texte texte texte texte
 295       texte texte texte texte texte texte texte texte texte texte texte texte
 296       texte texte texte texte texte texte texte texte texte texte texte texte
 297       texte texte texte texte texte texte texte texte texte texte texte texte
 298       texte texte texte texte texte texte texte texte texte texte texte texte
 299       texte texte texte texte texte texte</p>
 300     <p class="Standard">&nbsp;</p>
 301     <p class="Standard">&nbsp;</p>
 302     <!--Next 'div' was a 'text:p'.-->
 303     <div class="note">
 304       <!--Next 'div' is a draw:frame.-->
 305       <div style="padding: 0pt; height: 0.534cm; width: 0.496cm; float: left; position: relative; left: -0.499cm;" class="fr1" id="images2"><img style="height: 0.534cm; width: 0.496cm;" alt="" src="data:image/*;base64,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" /></div>
 306       <!--Next 'div' added for floating.-->
 307       <div style="position: relative; left: -0.499cm;">Dans un corpus avec
 308         thématique, tous les paragraphes d'une UCI doivent appartenir à une
 309         thématique. La construction suivante n'est donc pas possible&nbsp;:</div>
 310     </div>
 311     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 312     <p class="note">**** *var1_1</p>
 313     <p class="note">texte texte texte texte texte </p>
 314     <p class="note">-*thematique1</p>
 315     <p class="note_borderEnd">texte texte texte texte texte texte </p>
 316     <p class="Standard">&nbsp;</p>
 317     <p class="Standard">&nbsp;</p>
 318     <!--Next 'div' was a 'text:p'.-->
 319     <div class="note">
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 321       <div style="padding: 0pt; height: 0.534cm; width: 0.496cm; float: left; position: relative; left: -0.499cm;" class="fr1" id="Image2"><img style="height: 0.534cm; width: 0.496cm;" alt="" src="data:image/*;base64,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" /></div>
 322       <!--Next 'div' added for floating.-->
 323       <div style="position: relative; left: -0.499cm;"> Les variables étoilées
 324         et les thématiques introduites dans le corpus ne doivent pas contenir
 325         d'espaces ou de caractères spéciaux. Elles ne doivent contenir que des
 326         caractères parmi a-z, A-Z, 1-9 et des tirets bas (_).</div>
 327     </div>
 328     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 329     <p class="note">*age 18 ans n'est pas un bon codage</p>
 330     <p class="note">*age_18 est un bon codage</p>
 331     <p class="note">*entretien_d'Emilie n'est pas un bon codage</p>
 332     <p class="note_borderEnd">*ent_emilie est un bon codage</p>
 333     <p class="Standard">&nbsp;</p>
 334     <p class="Standard">&nbsp;</p>
 335     <!--Next 'div' was a 'text:p'.-->
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 338       <div style="padding: 0pt; height: 0.534cm; width: 0.496cm; float: left; position: relative; left: -0.499cm;" class="fr1" id="images3"><img style="height: 0.534cm; width: 0.496cm;" alt="" src="data:image/*;base64,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" /></div>
 339       <!--Next 'div' added for floating.-->
 340       <div style="position: relative; left: -0.499cm;">Les codages de la forme
 341         *variable_modalité doivent être privilégiés pour les variables
 342         illustratives. Ils permettent des analyses complémentaires. </div>
 343     </div>
 344     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 345     <p class="note_borderEnd">Exemple&nbsp;: *sex_h pour les hommes et *sex_f
 346       pour les femmes permet de repérer la variable sex et les modalités h et f.</p>
 347     <p class="Standard">&nbsp;</p>
 348     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId871444" /><a class="mozTocH2" id="mozTocId732523" /><a id="a__2_2__Ouverture_d'un_fichier_texte"><span style="margin-right: 0.381cm;"> 2.2 </span></a>Ouverture d'un fichier
 349       texte</h2>
 350     <p class="Text_20_body">Fichier → Ouvrir un corpus texte</p>
 351     <p class="Text_20_body">Vous devez préciser l'encodage du fichier et la
 352       langue du corpus.</p>
 353     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId64024" /><a class="mozTocH2" id="mozTocId695869" /><a id="a__2_3__Traitements_commun_aux_analyses"><span style="margin-right: 0.381cm;"> 2.3 </span></a>Traitements commun aux
 354       analyses</h2>
 355     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId315920" /><a class="mozTocH3" id="mozTocId811203" /><a id="a__2_3_1__Nettoyage_1"><span style="margin-right: 0.381cm;"> 2.3.1 </span></a>Nettoyage 1</h3>
 356     <p class="Text_20_body">Les corpus texte sont passés en minuscule. Tous les
 357       caractères qui ne sont pas dans la liste des caractères retenus sont
 358       remplacés par des espaces. Toutes les succesions d'espaces ou de sauts de
 359       ligne sont remplacés par un espace ou un saut de ligne. Les apostrophes
 360       (’) sont remplacées par des apostrophes (').</p>
 361     <p class="Text_20_body">Caractères retenus&nbsp;:
 362       a-zA-Z0-9àÀâÂäÄáÁéÉèÈêÊëËìÌîÎïÏòÒôÔöÖùÙûÛüÜçÇ’ñ.:,;!?\n*'_-</p>
 363     <p class="note">Cette liste devrait devenir paramétrable</p>
 364     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId504939" /><a class="mozTocH3" id="mozTocId477779" /><a id="a__2_3_2__Dictionnaire_des_expressions"><span style="margin-right: 0.381cm;"> 2.3.2 </span></a>Dictionnaire des
 365       expressions</h3>
 366     <p class="Text_20_body">Le dictionnaire des expressions contient des
 367       expression ou des mots contenant des tirets (-) ou des apostrophes ('). Il
 368       permet de traiter ces expressions comme un tout. Par exemple, le mot
 369       aujourd'hui sera traité comme la forme aujourd_hui. L'expression
 370       «&nbsp;vis-à-vis&nbsp;» sera transformée en vis_à_vis&nbsp;». Le
 371       dictionnaire des expressions est disponible dans le répertoire
 372       d'installation d'iramuteq, dans le sous-répertoire
 373       «&nbsp;dictionnaire&nbsp;».</p>
 374     <p class="Text_20_body">L'utilisation de ce dictionnaire est optionnel.</p>
 375     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId390887" /><a class="mozTocH3" id="mozTocId21984" /><a id="a__2_3_3__Nettoyage_2"><span style="margin-right: 0.381cm;"> 2.3.3 </span></a>Nettoyage 2</h3>
 376     <p class="Text_20_body">Les apostrophes (') et les tirets (-) sont remplacés
 377       par des espaces.</p>
 378     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId326141" /><a class="mozTocH3" id="mozTocId928039" /><a id="a__2_3_4__Lemmatisation"><span style="margin-right: 0.381cm;"> 2.3.4 </span></a>Lemmatisation</h3>
 379     <p class="Text_20_body">Les verbes sont réduits à l'infinitif, les noms et
 380       les adjectifs sont réduits au masculin singulier.</p>
 381     <p class="Text_20_body">Exemple&nbsp;:</p>
 382     <p class="exemple_borderStart">mangé, mangeons, mangera → manger</p>
 383     <p class="exemple_borderEnd">professionnelles, professionnelle,
 384       professionnels, professionnel → professionnel</p>
 385     <p class="Text_20_body">&nbsp;</p>
 386     <p class="Text_20_body">La lemmatisation est optionnelle.</p>
 387     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId248100" /><a class="mozTocH2" id="mozTocId208330" /><a id="a__2_4__Statistiques_textuelles"><span style="margin-right: 0.381cm;"> 2.4 </span></a>Statistiques
 388       textuelles</h2>
 389     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId561003" /><a class="mozTocH3" id="mozTocId581693" /><a id="a__2_4_1__Description"><span style="margin-right: 0.381cm;"> 2.4.1 </span></a>Description</h3>
 390     <p class="Standard">Analyse de texte → Statistiques textuelles</p>
 391     <p class="Standard">Cette analyse propose des statistiques simples sur les
 392       corpus texte&nbsp;: effectifs de toutes les formes, effectifs des formes
 393       actives et supplémentaires, liste des hapax.</p>
 394     <p class="Standard">&nbsp;</p>
 395     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId915616" /><a class="mozTocH3" id="mozTocId570809" /><a id="a__2_4_2__Résultats"><span style="margin-right: 0.381cm;"> 2.4.2 </span></a>Résultats</h3>
 396     <p class="Standard">Les résultats se présentent sous forme de listes. Un
 397       clique droit sur une forme permet d'accéder aux formes associées et à un
 398       concordancier.</p>
 399     <p class="Standard">&nbsp;</p>
 400     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId719856" /><a class="mozTocH3" id="mozTocId655576" /><a id="a__2_4_3__Fichiers_en_sortie"><span style="margin-right: 0.381cm;"> 2.4.3 </span></a>Fichiers en sortie</h3>
 401     <p class="Standard">&nbsp;</p>
 402     <table class="Tableau1" border="0" cellpadding="0" cellspacing="0">
 403       <colgroup><col width="371" /><col width="371" /></colgroup>
 404       <tbody>
 405         <tr>
 406           <td style="text-align: left; width: 8.498cm;" class="Tableau1_A1">
 407             <p class="Standard">Répertoire de sortie</p>
 408           </td>
 409           <td style="text-align: left; width: 8.5cm;" class="Tableau1_B1">
 410             <p class="Standard">NomDuCorpus_Stat_x</p>
 411           </td>
 412         </tr>
 413         <tr>
 414           <td colspan="2" style="text-align: left; width: 8.498cm;" class="Tableau1_A2">
 415             <p class="Table_20_Contents">Fichiers en sortie&nbsp;:</p>
 416           </td>
 417         </tr>
 418         <tr>
 419           <td style="text-align: left; width: 8.498cm;" class="Tableau1_A3">
 420             <p class="Table_20_Contents">total.csv</p>
 421           </td>
 422           <td style="text-align: left; width: 8.5cm;" class="Tableau1_A2">
 423             <p class="Table_20_Contents">Toute les formes et leurs effectifs</p>
 424           </td>
 425         </tr>
 426         <tr>
 427           <td style="text-align: left; width: 8.498cm;" class="Tableau1_A3">
 428             <p class="Table_20_Contents">formes supplémentaires.csv</p>
 429           </td>
 430           <td style="text-align: left; width: 8.5cm;" class="Tableau1_A2">
 431             <p class="Table_20_Contents">Les formes supplémentaires et leurs
 432               effectifs</p>
 433           </td>
 434         </tr>
 435         <tr>
 436           <td style="text-align: left; width: 8.498cm;" class="Tableau1_A3">
 437             <p class="Table_20_Contents">formes actives.csv</p>
 438           </td>
 439           <td style="text-align: left; width: 8.5cm;" class="Tableau1_A2">
 440             <p class="Table_20_Contents">Les formes actives et leurs effectifs</p>
 441           </td>
 442         </tr>
 443         <tr>
 444           <td style="text-align: left; width: 8.498cm;" class="Tableau1_A3">
 445             <p class="Table_20_Contents">hapax.csv</p>
 446           </td>
 447           <td style="text-align: left; width: 8.5cm;" class="Tableau1_A2">
 448             <p class="Table_20_Contents">Les hapax</p>
 449           </td>
 450         </tr>
 451       </tbody>
 452     </table>
 453     <p class="Standard">&nbsp;</p>
 454     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId743878" /><a class="mozTocH2" id="mozTocId649822" /><a id="a__2_5__Comme_Lexico"><span style="margin-right: 0.381cm;"> 2.5 </span></a>Comme Lexico</h2>
 455     <p class="Standard">Analyse de texte → Comme lexico</p>
 456     <p class="Standard">Reproduit une des analyses du logiciel Lexico (<a href="http://www.tal.univ-paris3.fr/lexico/">http://www.tal.univ-paris3.fr/lexico/</a>).
 457       </p>
 458     <p class="Standard">Il s'agit de la description d'un tableau de contingence
 459       qui croise formes et groupes d'UCI. Les groupe d'UCI sont sélectionnées en
 460       fonction de variables illustratives. L'objectif est de comparer ces
 461       groupes d'UCI.</p>
 462     <p class="Standard">&nbsp;</p>
 463     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId525259" /><a class="mozTocH3" id="mozTocId169515" /><a id="a__2_5_1__Options"><span style="margin-right: 0.381cm;"> 2.5.1 </span></a>Options</h3>
 464     <p class="Standard">L'effectif minimum d'une forme sélectionnée peut être
 465       paramétré. Par défaut, cette valeur est à 10.</p>
 466     <p class="Standard">&nbsp;</p>
 467     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId476251" /><a class="mozTocH3" id="mozTocId718908" /><a id="a__2_5_2__Résultats"><span style="margin-right: 0.381cm;"> 2.5.2 </span></a>Résultats</h3>
 468     <p class="Text_20_body">Les mêmes résultats sont produits sur les formes et
 469       sur les types.</p>
 470     <ul>
 471       <li>
 472         <p class="P9" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Onglet
 473           Spécificités&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 474         <p class="P9" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Présente
 475           l'exposant du seuil de significativité du chi2 qui mesure la force du
 476           lien entre la forme et la variable. Par exemple, si une forme est liée
 477           à une variable avec un chi2 dont le seuil de significativité est
 478           0,001, la valeur 3 sera notée car 0,001 = 10<span class="T1">-3</span><span class="T2">.</span><span class="odfLiEnd">&nbsp;</span></p>
 479       </li>
 480       <li>
 481         <p class="P9" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span><span class="T2">Onglet Effectifs&nbsp;:</span><span class="odfLiEnd">&nbsp;</span></p>
 482         <p class="P9" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span><span class="T2">Les effectifs</span><span class="odfLiEnd">&nbsp;</span></p>
 483       </li>
 484       <li>
 485         <p class="P9" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span><span class="T2">Onglet Effectifs relatifs&nbsp;:</span><span class="odfLiEnd">&nbsp;</span></p>
 486         <p class="P9" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span><span class="T2">Les effectifs relatifs en 1000ème</span><span class="odfLiEnd">&nbsp;</span></p>
 487       </li>
 488     </ul>
 489     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId31410" /><a class="mozTocH2" id="mozTocId92517" /><a id="a__2_6__AFC_sur_UCI"><span style="margin-right: 0.381cm;"> 2.6 </span></a>AFC sur UCI</h2>
 490     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId48971" /><a class="mozTocH3" id="mozTocId343087" /><a id="a__2_6_1__Description"><span style="margin-right: 0.381cm;"> 2.6.1 </span></a>Description</h3>
 491     <p class="Text_20_body">Analyse de texte → AFC sur UCI</p>
 492     <p class="Text_20_body">Produit une Analyse factorielle des correspondances
 493       sur un tableau de contingence qui croise formes actives et UCI.</p>
 494     <p class="Text_20_body">Cette analyse est immature.</p>
 495     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId337754" /><a class="mozTocH3" id="mozTocId653903" /><a id="a__2_6_2__Options"><span style="margin-right: 0.381cm;"> 2.6.2 </span></a>Options</h3>
 496     <p class="Text_20_body">Pas d'options pour l'instant</p>
 497     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId393228" /><a class="mozTocH3" id="mozTocId619910" /><a id="a__2_6_3__Résultats"><span style="margin-right: 0.381cm;"> 2.6.3 </span></a>Résultats</h3>
 498     <p class="Text_20_body">Trois graphiques d'AFC sont proposés&nbsp;: formes
 499       actives, formes supplémentaire et variables étoilées.</p>
 500     <p class="Text_20_body">&nbsp;</p>
 501     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId225085" /><a class="mozTocH2" id="mozTocId935132" /><a id="a__2_7__Classification"><span style="margin-right: 0.381cm;"> 2.7 </span></a>Classification</h2>
 502     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId632839" /><a class="mozTocH3" id="mozTocId55581" /><a id="a__2_7_1__Méthode_ALCESTE"><span style="margin-right: 0.381cm;"> 2.7.1 </span></a>Méthode ALCESTE</h3>
 503     <h4 class="Heading_20_4"><a class="mozTocH4" name="mozTocId750813" /><a class="mozTocH4" id="mozTocId242095" /><a id="a__2_7_1_1__Description"><span style="margin-right: 0.381cm;"> 2.7.1.1 </span></a>Description</h4>
 504     <p class="Standard">Analyse de texte → Classification → méthode ALCESTE</p>
 505     <p class="Standard">Cette analyse propose une classification hiérarchique
 506       descendante selon la méthode ALCESTE (Reinert, 1983, 1986, 1991). La
 507       classification peut être menée sur les UCI (classification simple sur UCI)
 508       ou sur des segments de textes (Unité de Contexte Élémentaire&nbsp;: UCE).
 509       Les classifications sur les UCE peuvent être conduites directement sur
 510       celles-ci (classification simple sur UCE) ou sur deux tableaux proposant
 511       des regroupements de segments de texte (Unité de Contexte&nbsp;: UC) qui
 512       différent par le nombre de variables actives (et donc d'UCE) regroupées
 513       par ligne (classification double sur UC).</p>
 514     <p class="Standard">Voir le détail de la classification ALCESTE en annexe.</p>
 515     <h4 class="P16"><a class="mozTocH4" name="mozTocId938564" /><a class="mozTocH4" id="mozTocId487130" /><a id="a__2_7_1_2__Options"><span style="margin-right: 0.381cm;"> 2.7.1.2 </span></a>Options</h4>
 516     <!--Next 'div' was a 'text:p'.-->
 517     <div class="Text_20_body">
 518       <!--Next 'div' is emulating the top hight of a draw:frame.-->
 519       <div style="height: 0.199cm;">&nbsp;</div>
 520       <!--Next 'div' is a draw:frame.-->
 521       <div style="padding: 0pt; height: 11.359cm; width: 8.269cm; float: left; position: relative; left: 4.256cm;" class="fr2" id="images4"><img style="height: 11.359cm; width: 8.269cm;" alt="" src="data:image/*;base64,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" /></div>
 522     </div>
 523     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 524     <ul>
 525       <li>
 526         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Utiliser
 527           le dictionnaire des expressions&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 528         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>voir
 529           dictionnaire des expressions<span class="odfLiEnd">&nbsp;</span></p>
 530         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span><span class="odfLiEnd">&nbsp;</span></p>
 531       </li>
 532       <li>
 533         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Lemmatisation&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 534         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>voir
 535           lemmatisation<span class="odfLiEnd">&nbsp;</span></p>
 536         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span><span class="odfLiEnd">&nbsp;</span></p>
 537       </li>
 538       <li>
 539         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Classification&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 540         <ul>
 541           <li>
 542             <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">◦.</span>double
 543               sur UC&nbsp;: la classification est menée sur deux tableaux qui
 544               regroupent sur chaque ligne un certain nombre d'UCE en fonction du
 545               nombre de formes actives par ligne des paramètres «&nbsp;taille uc
 546               1&nbsp;» et «&nbsp;taille uc2&nbsp;»<span class="odfLiEnd">&nbsp;</span></p>
 547           </li>
 548           <li>
 549             <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">◦.</span>simple
 550               sur UCE&nbsp;: la classification est menée sur les UCE<span class="odfLiEnd">&nbsp;</span></p>
 551           </li>
 552           <li>
 553             <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">◦.</span>simple
 554               sur UCI&nbsp;: la classification est menée sur les UCI<span class="odfLiEnd">&nbsp;</span></p>
 555           </li>
 556         </ul>
 557       </li>
 558     </ul>
 559     <p class="Standard">&nbsp;</p>
 560     <ul>
 561       <li>
 562         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Nombre
 563           de classes terminales de la phase 1&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 564         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Détermine
 565           le nombre de classes de la première partie de la classification.<span class="odfLiEnd">&nbsp;</span></p>
 566         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span><span class="odfLiEnd">&nbsp;</span></p>
 567       </li>
 568       <li>
 569         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Nombre
 570           d'occurrences par UCE&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 571         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Permet
 572           de choisir la taille des UCE en fonction du nombre d'occurrences
 573           qu'elles regroupent. Par défaut, ce calcul est automatique et la
 574           taille des UCE est fonction de la taille du corpus. Plus le corpus est
 575           important, plus les UCE seront longues. Dans tous les cas, la
 576           ponctuation est prise en compte dans le découpage&nbsp;; la valeur du
 577           nombre d'occurrences est donc «&nbsp;un objectif à atteindre&nbsp;» et
 578           pas une valeur stricte.<span class="odfLiEnd">&nbsp;</span></p>
 579       </li>
 580     </ul>
 581     <p class="Standard">&nbsp;</p>
 582     <p class="Standard">&nbsp;</p>
 583     <ul>
 584       <li><!--Next 'div' was a 'text:p'.-->
 585         <div class="P15">
 586           <!--Next 'div' is a draw:frame.-->
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 588           <!--Next 'div' added for floating.-->
 589           <div style="position: relative; left: -0.499cm;">Vérifiez la taille
 590             des UCE dans vos analyses, elle peut rapidement devenir trop
 591             importante. Des UCE d'une cinquante d'occurrences correspondent à
 592             environ deux ou trois lignes de texte.</div>
 593         </div>
 594         <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 595         <p class="P8">&nbsp;</p>
 596       </li>
 597       <li>
 598         <p class="P8" style="margin-left: 0.499cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Nombre
 599           minimum d'UCE par classe&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 600         <p class="P8" style="margin-left: 0.499cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Permet
 601           de choisir le nombre minimum d'UCE par classe. Par défaut, seules les
 602           classes regroupant 1/(10*le nombre de classes terminales de la phase
 603           1) des UCE pour une classification simple, et 1/(20*le nombre de
 604           classes terminales de la phase 1) des UCE pour une classification
 605           double, seront retenues.<span class="odfLiEnd">&nbsp;</span></p>
 606       </li>
 607     </ul>
 608     <p class="Standard">&nbsp;</p>
 609     <ul>
 610       <li>
 611         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Nombre
 612           maximum de formes analysées&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 613         <p class="P8" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Par
 614           défaut, les 1500 formes actives les plus fréquentes et les 1500 formes
 615           supplémentaires les plus fréquentes seront retenues. Une forme doit
 616           avoir au minimum une fréquence de 4 pour être retenue. Si le corpus à
 617           moins de 1500 formes, toutes les formes avec une fréquence supérieure
 618           à 3 seront retenues.<span class="odfLiEnd">&nbsp;</span></p>
 619       </li>
 620     </ul>
 621     <p class="Standard">&nbsp;</p>
 622     <p class="Standard">&nbsp;</p>
 623     <ul>
 624       <li><!--Next 'div' was a 'text:p'.-->
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 628           <!--Next 'div' added for floating.-->
 629           <div style="position: relative; left: -0.499cm;">Ce paramètre a une
 630             forte incidence sur la taille des tableaux analysés et donc sur la
 631             quantité de mémoire de l'ordinateur mobilisée. Si votre ordinateur
 632             n'a pas assez de mémoire pour analyser un corpus, essayez de baisser
 633             ce paramètre. Si votre ordinateur possède «&nbsp;suffisamment&nbsp;»
 634             de mémoire pour le corpus et que le corpus possède plus de 1500
 635             formes de fréquence &gt; 3, n'hésitez pas à l'augmenter.</div>
 636         </div>
 637         <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 638       </li>
 639       <li>
 640         <p class="P8" style="margin-left: 0.499cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Configuration
 641           des clés d'analyse&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 642         <p class="P8" style="margin-left: 0.499cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Voir
 643           clés d'analyse<span class="odfLiEnd">&nbsp;</span></p>
 644       </li>
 645     </ul>
 646     <h4 class="Heading_20_4"><a class="mozTocH4" name="mozTocId2879" /><a class="mozTocH4" id="mozTocId66567" /><a id="a__2_7_1_3__Résultats"><span style="margin-right: 0.381cm;"> 2.7.1.3 </span></a>Résultats</h4>
 647     <p class="Text_20_body">Les résultats directement disponibles présentent un
 648       résumé de la classification (onglet CHD) les profils des classes (onglet
 649       Profils), les antiprofils des classes (onglet Antiprofils) et une analyse
 650       factorielle des correspondances menées sur le tableau de contingence
 651       croisant formes et classes (onglet AFC).</p>
 652     <!--Next 'div' was a 'text:p'.-->
 653     <div class="Text_20_body">
 654       <!--Next 'div' is emulating the top hight of a draw:frame.-->
 655       <div style="height: 0.302cm;">&nbsp;</div>
 656       <!--Next 'div' is a draw:frame.-->
 657       <div style="padding: 0pt; height: 2.88cm; width: 12.088cm; float: left; position: relative; left: 2.187cm;" class="fr2" id="images7"><img style="height: 2.88cm; width: 12.088cm;" alt="" src="data:image/*;base64,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" /></div>
 658     </div>
 659     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 660     <h5 class="Heading_20_5"><a class="mozTocH5" name="mozTocId161663" /><a class="mozTocH5" id="mozTocId687448" /><a id="a__2_7_1_3_1__Options_des_profils"><span style="margin-right: 0.381cm;"> 2.7.1.3.1 </span></a>Options des
 661       profils</h5>
 662     <p class="Text_20_body">A partir d'un clique droit sur une ligne du profil,
 663       plusieurs outils complémentaires sont proposés&nbsp;:</p>
 664     <!--Next 'div' was a 'text:p'.-->
 665     <div class="Text_20_body">
 666       <!--Next 'div' is emulating the top hight of a draw:frame.--><!--Next 'div' is a draw:frame.-->
 667 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" /></div>
 668     </div>
 669     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
 670     <ul>
 671       <li>
 672         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Formes
 673           associées&nbsp;: renvoie les mots associées à la forme sélectionnée et
 674           leurs effectifs.<span class="odfLiEnd">&nbsp;</span></p>
 675       </li>
 676       <li>
 677         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Chi2
 678           par classe&nbsp;: crée un graphique qui présente le chi2 d'association
 679           de la forme à chacune des classes. Plusieurs formes peuvent être
 680           sélectionnées en même temps.<span class="odfLiEnd">&nbsp;</span></p>
 681       </li>
 682       <li>
 683         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Concordancier&nbsp;:
 684           propose le concordancier de la (ou des) forme(s) sélectionnée(s). Ce
 685           concordancier est disponible pour les UCE de la classe, les UCE
 686           classées ou toutes les UCE du corpus.<span class="odfLiEnd">&nbsp;</span></p>
 687       </li>
 688       <li>
 689         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Outils
 690           du CNRTL&nbsp;: interroge la base de données du Centre Nationale de
 691           Ressources Textuelles et Lexicales (<a href="http://www.cnrtl.fr/">http://www.cnrtl.fr/</a>)
 692           à partir de la forme sélectionnée (nécessite &nbsp;d'être connecté à
 693           Internet). Permet d'obtenir une définition (Lexicographie), les
 694           synonymes (Synonymie), les Antonymes (Antonymie), l'étymologie
 695           (Etymologie) et la morphologie (Morphologie) de la forme. Les
 696           résultats s'affichent dans le navigateur internet par défaut du
 697           système.<span class="odfLiEnd">&nbsp;</span></p>
 698       </li>
 699       <li>
 700         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Graph
 701           de classe&nbsp;: indépendant de la ligne sélectionnée. Il s'agit d'une
 702           analyse de similitude menée sur un tableau absence/présence (0/1) qui
 703           croise les unités choisies en ligne (UCI ou UCE) et les formes actives
 704           de la classe en colonne. La matrice de similitude est construite sur
 705           les colonnes (les formes actives de la classe). Par défaut, l'indice
 706           de similitude utilisé est la cooccurrence. Les résultats se présentent
 707           sous la forme d'un graphe de similitude réduit à un arbre maximum. <span class="odfLiEnd">&nbsp;</span></p>
 708         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;"><!-- --></span>Voir
 709           «&nbsp;analyse de similitude&nbsp;» pour plus de détails.<span class="odfLiEnd">&nbsp;</span></p>
 710       </li>
 711       <li>
 712         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>Segments
 713           répétés&nbsp;: indépendant de la ligne sélectionnée. Effectifs et
 714           tailles des segments répétés de la classe. Préférez les profils des
 715           segments répétés.<span class="odfLiEnd">&nbsp;</span></p>
 716       </li>
 717       <li>
 718         <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">•.</span>UCE
 719           caractéristiques&nbsp;: indépendant de la ligne sélectionnée. Liste
 720           les UCE caractéristiques de la classe. Deux scores sont
 721           proposés&nbsp;:<span class="odfLiEnd">&nbsp;</span></p>
 722         <ul>
 723           <li>
 724             <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">◦.</span>absolu&nbsp;:
 725               les UCE sont classées en fonction de la somme de chi2 de liaison à
 726               la classe des formes actives qu'elles contiennent.<span class="odfLiEnd">&nbsp;</span></p>
 727           </li>
 728           <li>
 729             <p class="P10" style="margin-left: 0cm;"><span class="Bullet_20_Symbols" style="display: block; float: left; min-width: 0cm;">◦.</span>Relatif&nbsp;:
 730               les UCE sont classées en fonction de la moyenne des chi2 de
 731               liaison à la classe des formes actives qu'elles contiennent.<span class="odfLiEnd">&nbsp;</span></p>
 732           </li>
 733         </ul>
 734       </li>
 735     </ul>
 736     <p class="Text_20_body">&nbsp;</p>
 737     <p class="note">Dans le cas d'une classification sur UCI, remplacez UCE par
 738       UCI dans la description précédente.</p>
 739     <h4 class="Heading_20_4"><a class="mozTocH4" name="mozTocId271411" /><a class="mozTocH4" id="mozTocId211474" /><a id="a__2_7_1_4__Fichiers_en_sortie"><span style="margin-right: 0.381cm;"> 2.7.1.4 </span></a>Fichiers en sortie</h4>
 740     <table class="Tableau3" border="0" cellpadding="0" cellspacing="0">
 741       <colgroup><col width="185" /><col width="557" /></colgroup>
 742       <tbody>
 743         <tr>
 744           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A1">
 745             <p class="Standard">Répertoire de sortie</p>
 746           </td>
 747           <td style="text-align: left; width: 12.756cm;" class="Tableau3_B1">
 748             <p class="Standard">NomDuCorpus_alceste_x</p>
 749           </td>
 750         </tr>
 751         <tr>
 752           <td colspan="2" style="text-align: left; width: 4.242cm;" class="Tableau3_A2">
 753             <p class="Table_20_Contents">Fichiers en sortie&nbsp;:</p>
 754           </td>
 755         </tr>
 756         <tr>
 757           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 758             <p class="P4">TableUc1.csv</p>
 759           </td>
 760           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 761             <p class="Table_20_Contents">Le tableau UC1/formes ou UCI/formes ou
 762               UCE/formes</p>
 763           </td>
 764         </tr>
 765         <tr>
 766           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 767             <p class="P4">TableUc2.csv</p>
 768           </td>
 769           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 770             <p class="Table_20_Contents">Le tableau UC2/formes</p>
 771           </td>
 772         </tr>
 773         <tr>
 774           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 775             <p class="P4">listeUCE1.csv</p>
 776           </td>
 777           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 778             <p class="Table_20_Contents">Tableau uce;uc pour les UC1</p>
 779           </td>
 780         </tr>
 781         <tr>
 782           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 783             <p class="P4">listeUCE2.csv</p>
 784           </td>
 785           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 786             <p class="Table_20_Contents">Tableau uce;uc pour les UC2</p>
 787           </td>
 788         </tr>
 789         <tr>
 790           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 791             <p class="P4">profiles.csv</p>
 792           </td>
 793           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 794             <p class="Table_20_Contents">Profils des classes</p>
 795           </td>
 796         </tr>
 797         <tr>
 798           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 799             <p class="P4">antiprofiles.csv</p>
 800           </td>
 801           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 802             <p class="Table_20_Contents">Antiprofils des classes</p>
 803           </td>
 804         </tr>
 805         <tr>
 806           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 807             <p class="P4">info.txt</p>
 808           </td>
 809           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 810             <p class="Table_20_Contents">Résumé de la classification</p>
 811           </td>
 812         </tr>
 813         <tr>
 814           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 815             <p class="P4">uce.csv</p>
 816           </td>
 817           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 818             <p class="Table_20_Contents">Les uce par classe</p>
 819           </td>
 820         </tr>
 821         <tr>
 822           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 823             <p class="P4">arbre_1.png</p>
 824           </td>
 825           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 826             <p class="Table_20_Contents">Dendrogramme de la première CHD</p>
 827           </td>
 828         </tr>
 829         <tr>
 830           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 831             <p class="P4">arbre_2.png</p>
 832           </td>
 833           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 834             <p class="Table_20_Contents">Dendrogramme de la seconde CHD</p>
 835           </td>
 836         </tr>
 837         <tr>
 838           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 839             <p class="P4">dendro1.png</p>
 840           </td>
 841           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 842             <p class="Table_20_Contents">Dendrogramme final sur UC1</p>
 843           </td>
 844         </tr>
 845         <tr>
 846           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 847             <p class="P4">dendro2.png</p>
 848           </td>
 849           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 850             <p class="Table_20_Contents">Dendrogramme final sur UC2</p>
 851           </td>
 852         </tr>
 853         <tr>
 854           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 855             <p class="P4">classe_mod.csv</p>
 856           </td>
 857           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 858             <p class="Table_20_Contents">Tableau de contingence formes
 859               actives/classes</p>
 860           </td>
 861         </tr>
 862         <tr>
 863           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 864             <p class="P4">RData.RData</p>
 865           </td>
 866           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 867             <p class="Table_20_Contents">Résultats dans R</p>
 868           </td>
 869         </tr>
 870         <tr>
 871           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 872             <p class="P4">tablesup.csv</p>
 873           </td>
 874           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 875             <p class="Table_20_Contents">Tableau de contingence formes
 876               supplémentaires/classes</p>
 877           </td>
 878         </tr>
 879         <tr>
 880           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 881             <p class="P4">tableet.csv</p>
 882           </td>
 883           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 884             <p class="Table_20_Contents">Tableau de contingence variables
 885               illustratives/classes</p>
 886           </td>
 887         </tr>
 888         <tr>
 889           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 890             <p class="P4">SbyClasseOut.csv</p>
 891           </td>
 892           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 893             <p class="Table_20_Contents">Les uce par classe</p>
 894           </td>
 895         </tr>
 896         <tr>
 897           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 898             <p class="P4">chisqtable.csv</p>
 899           </td>
 900           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 901             <p class="Table_20_Contents">Chi2 d'association de chaque formes aux
 902               classes</p>
 903           </td>
 904         </tr>
 905         <tr>
 906           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 907             <p class="P4">ptable.csv</p>
 908           </td>
 909           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 910             <p class="Table_20_Contents">Seuil de significativité des chi2
 911               d'associations de chaque forme aux classes.</p>
 912           </td>
 913         </tr>
 914         <tr>
 915           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 916             <p class="P4">Analyse.ira</p>
 917           </td>
 918           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 919             <p class="Table_20_Contents">Fichier Analyse&nbsp;: permet de
 920               ré-ouvrir une analyse.</p>
 921           </td>
 922         </tr>
 923         <tr>
 924           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 925             <p class="P4">AFC2DL.png</p>
 926           </td>
 927           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 928             <p class="Table_20_Contents">Graph AFC&nbsp;: Variables actives -
 929               coordonnées - facteurs 1 / 2</p>
 930           </td>
 931         </tr>
 932         <tr>
 933           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 934             <p class="P4">AFC2DSL.png</p>
 935           </td>
 936           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 937             <p class="Table_20_Contents">Graph AFC&nbsp;: variables
 938               supplémentaires - coordonnées - facteurs 1 / 2</p>
 939           </td>
 940         </tr>
 941         <tr>
 942           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 943             <p class="P4">AFC2DEL.png</p>
 944           </td>
 945           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 946             <p class="Table_20_Contents">Graph AFC&nbsp;: Variables
 947               illustratives - Coordonnées - facteur 1 / 2</p>
 948           </td>
 949         </tr>
 950         <tr>
 951           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 952             <p class="P4">AFC2DCL.png</p>
 953           </td>
 954           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 955             <p class="Table_20_Contents">Graph AFC&nbsp;: Classes - Coordonnées
 956               - facteur 1 / 2</p>
 957           </td>
 958         </tr>
 959         <tr>
 960           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 961             <p class="P4">AFC2DCoul.png</p>
 962           </td>
 963           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 964             <p class="Table_20_Contents">Graph AFC&nbsp;: Variables actives -
 965               Corrélation - facteur 1 / 2</p>
 966           </td>
 967         </tr>
 968         <tr>
 969           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 970             <p class="P4">AFC2DCoulSup.png</p>
 971           </td>
 972           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 973             <p class="Table_20_Contents">Graph AFC&nbsp;: Variables
 974               supplémentaires - Corrélation - facteur 1 / 2</p>
 975           </td>
 976         </tr>
 977         <tr>
 978           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 979             <p class="P4">AFC2DCoulEt.png</p>
 980           </td>
 981           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 982             <p class="Table_20_Contents">Graph AFC&nbsp;: Variables
 983               illustratives - Corrélations - facteur 1 / 2</p>
 984           </td>
 985         </tr>
 986         <tr>
 987           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 988             <p class="P4">AFC2DCoulCl.png</p>
 989           </td>
 990           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
 991             <p class="Table_20_Contents">Graph AFC&nbsp;: Classes - Corrélations
 992               - facteurs 1 / 2</p>
 993           </td>
 994         </tr>
 995         <tr>
 996           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
 997             <p class="P4">liste_graph_afc.txt</p>
 998           </td>
 999           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1000             <p class="Table_20_Contents">Liste de s graphiques de l'onglet AFC</p>
1001           </td>
1002         </tr>
1003         <tr>
1004           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1005             <p class="P4">liste_graph_chd.txt</p>
1006           </td>
1007           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1008             <p class="Table_20_Contents">Liste de graphiques de l'onglet CHD</p>
1009           </td>
1010         </tr>
1011         <tr>
1012           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1013             <p class="P4">afc_row.csv</p>
1014           </td>
1015           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1016             <p class="Table_20_Contents">Résultats de l'AFC&nbsp;; Coordonnées,
1017               corrélation, MASS, contribution des formes : voir le manuel de la
1018               librairie ca de R pour plus de détail.</p>
1019           </td>
1020         </tr>
1021         <tr>
1022           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1023             <p class="P4">afc_col.csv</p>
1024           </td>
1025           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1026             <p class="Table_20_Contents">Résultats de l'AFC&nbsp;; Coordonnées,
1027               corrélation, MASS, contribution des classes : voir le manuel de la
1028               librairie ca de R pour plus de détail.</p>
1029           </td>
1030         </tr>
1031         <tr>
1032           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1033             <p class="P4">afc_facteur.csv</p>
1034           </td>
1035           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1036             <p class="Table_20_Contents">Résultats de l'AFC&nbsp;; Valeurs
1037               propres, Pourcentage d'inertie extraite et Pourcentage cumulé des
1038               facteurs.</p>
1039           </td>
1040         </tr>
1041         <tr>
1042           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1043             <p class="P4">segments_classes.csv</p>
1044           </td>
1045           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1046             <p class="Table_20_Contents">Tableau de contingence segments
1047               répétés/classes</p>
1048           </td>
1049         </tr>
1050         <tr>
1051           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1052             <p class="P4">prof_segments.csv</p>
1053           </td>
1054           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1055             <p class="Table_20_Contents">Profils des segments répétés</p>
1056           </td>
1057         </tr>
1058         <tr>
1059           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1060             <p class="P4">antiprof_segments.csv</p>
1061           </td>
1062           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1063             <p class="Table_20_Contents">Antiprofils des segments répétés</p>
1064           </td>
1065         </tr>
1066         <tr>
1067           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1068             <p class="P4">profil_type.csv</p>
1069           </td>
1070           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1071             <p class="Table_20_Contents">Profils des types</p>
1072           </td>
1073         </tr>
1074         <tr>
1075           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1076             <p class="P4">antiprof_type.csv</p>
1077           </td>
1078           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1079             <p class="Table_20_Contents">Antiprofils des types</p>
1080           </td>
1081         </tr>
1082         <tr>
1083           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1084             <p class="P4">type_cl.csv</p>
1085           </td>
1086           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1087             <p class="Table_20_Contents">Tableau de contingence types/classes</p>
1088           </td>
1089         </tr>
1090         <tr>
1091           <td style="text-align: left; width: 4.242cm;" class="Tableau3_A3">
1092             <p class="P4">analyse.db</p>
1093           </td>
1094           <td style="text-align: left; width: 12.756cm;" class="Tableau3_A2">
1095             <p class="Table_20_Contents">Base de données contenant les résultats</p>
1096           </td>
1097         </tr>
1098       </tbody>
1099     </table>
1100     <p class="Standard">&nbsp;</p>
1101     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId175031" /><a class="mozTocH3" id="mozTocId666721" /><a id="a__2_7_2__Par_matrice_des_distances"><span style="margin-right: 0.381cm;"> 2.7.2 </span></a>Par matrice des
1102       distances</h3>
1103     <p class="Standard">&nbsp;</p>
1104     <h1 class="Heading_20_1"><a class="mozTocH1" name="mozTocId124043" /><a class="mozTocH1" id="mozTocId675621" /><a id="a__3__Analyses_de_tableaux_de_données"><span style="margin-right: 0.381cm;"> 3 </span></a>Analyses de tableaux de
1105       données</h1>
1106     <p class="Standard">&nbsp;</p>
1107     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId503422" /><a class="mozTocH2" id="mozTocId485920" /><a id="a__3_1__Format_des_données_en_entrée"><span style="margin-right: 0.381cm;"> 3.1 </span></a>Format des données en
1108       entrée</h2>
1109     <p class="Standard">Les tableaux de données doivent être du type
1110       individus/caractères. Les variables doivent être préférentiellement
1111       présentées sous la forme variable_modalité. Dans le cadre des
1112       classifications ALCESTE, le tableau d'entrée est transformé en tableau
1113       abscence/présence (0/1). Il n 'est donc généralement pas acceptable que
1114       deux colonnes distinctes contiennent &nbsp;des modalités formatées de la
1115       même façon. Une étoile peut être introduite devant les modalités qui
1116       seront utilisées comme variables illustratives. Cette présentation
1117       correspond à un corpus «&nbsp;formaté&nbsp;».</p>
1118     <p class="Standard">&nbsp;</p>
1119     <p class="Standard">exemple&nbsp;:</p>
1120     <p class="Standard">&nbsp;</p>
1121     <table class="Tableau2" border="0" cellpadding="0" cellspacing="0">
1122       <colgroup><col width="101" /><col width="122" /><col width="101" /><col width="100" /></colgroup>
1123       <tbody>
1124         <tr class="Tableau21">
1125           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A1">
1126             <p class="P5">id</p>
1127           </td>
1128           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A1">
1129             <p class="P5">var1</p>
1130           </td>
1131           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A1">
1132             <p class="P5">var2</p>
1133           </td>
1134           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D1">
1135             <p class="P4">…</p>
1136           </td>
1137         </tr>
1138         <tr class="Tableau21">
1139           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A2">
1140             <p class="P5">1</p>
1141           </td>
1142           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A2">
1143             <p class="P4">*var1_mod1</p>
1144           </td>
1145           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A2">
1146             <p class="P4">var2_mod2</p>
1147           </td>
1148           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D2">
1149             <p class="P4">…</p>
1150           </td>
1151         </tr>
1152         <tr class="Tableau21">
1153           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A2">
1154             <p class="P5">2</p>
1155           </td>
1156           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A2">
1157             <p class="P4">*var1_mod2</p>
1158           </td>
1159           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A2">
1160             <p class="P4">var2_mod1</p>
1161           </td>
1162           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D2">
1163             <p class="P4">…</p>
1164           </td>
1165         </tr>
1166         <tr class="Tableau21">
1167           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A2">
1168             <p class="P5">3</p>
1169           </td>
1170           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A2">
1171             <p class="P4">*var1_mod3</p>
1172           </td>
1173           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A2">
1174             <p class="P4">var2_mod3</p>
1175           </td>
1176           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D2">
1177             <p class="P4">…</p>
1178           </td>
1179         </tr>
1180         <tr class="Tableau21">
1181           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A2">
1182             <p class="P5">4</p>
1183           </td>
1184           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A2">
1185             <p class="P4">*var1_mod2</p>
1186           </td>
1187           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A2">
1188             <p class="P4">var2_mod4</p>
1189           </td>
1190           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D2">
1191             <p class="P4">…</p>
1192           </td>
1193         </tr>
1194         <tr class="Tableau21">
1195           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A2">
1196             <p class="P5">5</p>
1197           </td>
1198           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A2">
1199             <p class="P4">*var1_mod3</p>
1200           </td>
1201           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A2">
1202             <p class="P4">var2_mod6</p>
1203           </td>
1204           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D2">
1205             <p class="P4">…</p>
1206           </td>
1207         </tr>
1208         <tr class="Tableau21">
1209           <td style="text-align: left; width: 2.32cm;" class="Tableau2_A2">
1210             <p class="P4">…</p>
1211           </td>
1212           <td style="text-align: left; width: 2.796cm;" class="Tableau2_A2">
1213             <p class="P4">…</p>
1214           </td>
1215           <td style="text-align: left; width: 2.314cm;" class="Tableau2_A2">
1216             <p class="P4">…</p>
1217           </td>
1218           <td style="text-align: left; width: 2.288cm;" class="Tableau2_D2">
1219             <p class="P4">…</p>
1220           </td>
1221         </tr>
1222       </tbody>
1223     </table>
1224     <p class="Standard">&nbsp;</p>
1225     <p class="Standard">&nbsp;</p>
1226     <p class="Standard">Les fichiers acceptés en entrée doivent être au format
1227       .xls (Microsoft Excel 97/2003), .csv ou .ods (openoffice, libreoffice,
1228       etc...).</p>
1229     <p class="Standard">&nbsp;</p>
1230     <p class="Standard">&nbsp;</p>
1231     <!--Next 'div' was a 'text:p'.-->
1232     <div class="note">
1233       <!--Next 'div' is a draw:frame.-->
1234       <div style="padding: 0pt; height: 0.534cm; width: 0.496cm; float: left; position: relative; left: -0.499cm;" class="fr1" id="images9"><img style="height: 0.534cm; width: 0.496cm;" alt="" src="data:image/*;base64,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" /></div>
1235       <!--Next 'div' added for floating.-->
1236       <div style="position: relative; left: -0.499cm;">Tous les fichiers
1237         transmis à R sont au format .csv avec le ';' comme séparateur de champs.
1238         IL EST DONC INDISPENSABLE QUE LE FICHIER EN ENTREE NE CONTIENNE
1239         AUCUN&nbsp;';'.</div>
1240     </div>
1241     <div style="margin: 0pt; padding: 0pt; clear: both; line-height: 0pt; width: 0pt; height: 0pt;">&nbsp;</div>
1242     <p class="note_borderEnd">De façon plus générale, il faut éviter les
1243       caractères en dehors des lettres (a-z), des chiffres (0-9) et du tiret bas
1244       (_).</p>
1245     <p class="Standard">&nbsp;</p>
1246     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId613717" /><a class="mozTocH2" id="mozTocId482822" /><a id="a__3_2__Fréquences"><span style="margin-right: 0.381cm;"> 3.2 </span></a>Fréquences</h2>
1247     <p class="Standard">&nbsp;</p>
1248     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId431367" /><a class="mozTocH2" id="mozTocId40456" /><a id="a__3_3__Chi_2"><span style="margin-right: 0.381cm;"> 3.3 </span></a>Chi 2</h2>
1249     <p class="Standard">&nbsp;</p>
1250     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId783214" /><a class="mozTocH2" id="mozTocId877319" /><a id="a__3_4__Classification"><span style="margin-right: 0.381cm;"> 3.4 </span></a>Classification</h2>
1251     <p class="Standard">&nbsp;</p>
1252     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId898016" /><a class="mozTocH2" id="mozTocId560700" /><a id="a__3_5__Par_matrice_des_distances"><span style="margin-right: 0.381cm;"> 3.5 </span></a>Par matrice des
1253       distances</h2>
1254     <p class="Standard">&nbsp;</p>
1255     <h3 class="Heading_20_3"><a class="mozTocH3" name="mozTocId13786" /><a class="mozTocH3" id="mozTocId286450" /><a id="a__3_5_1__Méthode_ALCESTE"><span style="margin-right: 0.381cm;"> 3.5.1 </span></a>Méthode ALCESTE</h3>
1256     <p class="Standard">&nbsp;</p>
1257     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId384874" /><a class="mozTocH2" id="mozTocId956927" /><a id="a__3_6__AFCM"><span style="margin-right: 0.381cm;"> 3.6 </span></a>AFCM</h2>
1258     <h2 class="Heading_20_2"><a class="mozTocH2" name="mozTocId678901" /><a class="mozTocH2" id="mozTocId533309" /><a id="a__3_7__Graphes"><span style="margin-right: 0.381cm;"> 3.7 </span></a>Graphes</h2>
1259     <h1 class="Heading_20_1"><a class="mozTocH1" name="mozTocId891220" /><a class="mozTocH1" id="mozTocId946428" /><a id="a__4__Bibliographie"><span style="margin-right: 0.381cm;"> 4 </span></a>Bibliographie</h1>
1260     <p class="Standard">&nbsp;</p>
1261     <h1 class="Heading_20_1"><a class="mozTocH1" name="mozTocId169474" /><a class="mozTocH1" id="mozTocId842388" /><a id="a__5__Annexes"><span style="margin-right: 0.381cm;"> 5 </span></a>Annexes</h1>
1262
1263 </body></html>