https://wiki.statsape.com/index.php?action=history&feed=atom&title=%E6%BD%9C%E7%B1%BB%E5%88%AB%E5%88%86%E6%9E%90 2026-06-09T21:36:07Z 本wiki上该页面的版本历史 MediaWiki 1.39.6 https://wiki.statsape.com/index.php?title=%E6%BD%9C%E7%B1%BB%E5%88%AB%E5%88%86%E6%9E%90&diff=6107&oldid=prev 2024-01-19T11:17:38Z

<p></p> <table style="background-color: #fff; color: #202122;" data-mw="interface"> <col class="diff-marker" /> <col class="diff-content" /> <col class="diff-marker" /> <col class="diff-content" /> <tr class="diff-title" lang="zh-Hans-CN"> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">←上一版本</td> <td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">2024年1月19日 (五) 19:17的版本</td> </tr><tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l7">第7行：</td> <td colspan="2" class="diff-lineno">第7行：</td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|nodeenglishname=<del style="font-weight: bold; text-decoration: none;">[[Has english name::</del>Latent Class Analysis<del style="font-weight: bold; text-decoration: none;">]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|nodeenglishname=Latent Class Analysis</div></td></tr> <tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>|abbreviation=<del style="font-weight: bold; text-decoration: none;">[[Has abbreviation::LCA]]</del></div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>|abbreviation=<ins style="font-weight: bold; text-decoration: none;">LttCA</ins></div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|funcmaincategory=数据分析</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>|funcmaincategory=数据分析</div></td></tr> <tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; 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Zeroclanzhang https://wiki.statsape.com/index.php?title=%E6%BD%9C%E7%B1%BB%E5%88%AB%E5%88%86%E6%9E%90&diff=5334&oldid=prev 2024-01-18T14:17:25Z

<p>创建页面，内容为“{{Infobox nodebasic |nodename=潜类别分析 |nodeimage=Latent Class Analysis.png |icon=Latent Class Analysis.svg |simpleicon=Latent Class Analysis_Pure.svg |developer=Dev.Team-DPS |productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用 |productionstatedesc=在<a href="/index.php?title=Update:DecisionLinnc_1.0.2.0&amp;action=edit&amp;redlink=1" class="new" title="Update:DecisionLinnc 1.0.2.0（页面不存在）">V1.0.2</a>部署 |nodeenglishname=<a href="/index.php?title=Has_english_name::Latent_Class_Analysis&amp;action=edit&amp;redlink=1" class="new" title="Has english name::Latent Class Analysis（页面不存在）">Has english name::Latent Class Analysis</a> |abbreviation=<a href="/index.php?title=Has_abbreviation::LCA&amp;action=edit&amp;redlink=1" class="new" title="Has abbreviation::LCA（页面不存在）">Has abbreviation::LCA</a> |funcmaincategory=数据分…”</p> <p><b>新页面</b></p><div>{{Infobox nodebasic <br /> |nodename=潜类别分析<br /> |nodeimage=Latent Class Analysis.png<br /> |icon=Latent Class Analysis.svg<br /> |simpleicon=Latent Class Analysis_Pure.svg<br /> |developer=Dev.Team-DPS<br /> |productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用<br /> |productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署<br /> |nodeenglishname=[[Has english name::Latent Class Analysis]]<br /> |abbreviation=[[Has abbreviation::LCA]]<br /> |funcmaincategory=数据分析<br /> |funcsubcategory=[[DataAGM Lv1 Cat::潜变量分析]]<br /> |nodecategory=数据挖掘<br /> |nodeinterpretor=R<br /> |nodeshortdescription=&lt;p&gt;潜类别分析用于在数据集中发现隐藏或潜在的类别结构。潜类别分析的目标是根据观测到的数据，将个体或对象分为不同的类别，这些类别通常不能通过单独的变量或特征来区分。相反，LCA利用多个观测变量的联合分布，将样本划分为潜在的, 相对同质的类别。&lt;/p&gt;&lt;p&gt;用途：用于在数据中发现隐藏的（或者说潜在的）群体或类别。&lt;/p&gt;&lt;p&gt;参数：选择变量类型为离散型，必须为&gt;0的整数数值。&lt;/p&gt;<br /> |nodeinputnumber=3<br /> |nodeoutputnumber=2<br /> |nodeloopsupport=是<br /> |nodeifswitchsupport=否<br /> |nodeavailableplotlist=BarDodgePlot<br /> |nodeavailabletablelist=Cluster;AIC;BIC;Chi-Square;Probability<br /> |nodeconfiguration=VariableList;Text<br /> |nodeinputports=WorkFlow-Control ➤;Transfer-Variable ◆;Transfer-Table ■<br /> |nodeoutputports=WorkFlow-Control ➤;Transfer-Table ■<br /> |statsapewikiurl=https://wiki.statsape.com/潜类别分析<br /> |previousnode=[[正弦曲线回归]]<br /> |nextnode=[[潜类别增长模型]]<br /> }}<br /> <br /> <br /> {{Navplate AlgorithmNodeList}}<br /> <br /> [[Category:潜变量分析]]</div>

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