https://wiki.statsape.com/index.php?action=history&feed=atom&title=%E7%BB%84%E5%86%85%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0_%E9%9A%8F%E6%9C%BA%E6%95%88%E5%BA%94 2026-05-13T18:20:49Z 本wiki上该页面的版本历史 MediaWiki 1.39.6 https://wiki.statsape.com/index.php?title=%E7%BB%84%E5%86%85%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0_%E9%9A%8F%E6%9C%BA%E6%95%88%E5%BA%94&diff=9201&oldid=prev 2024-02-25T06:36:56Z

<p></p> <a href="https://wiki.statsape.com/index.php?title=%E7%BB%84%E5%86%85%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0_%E9%9A%8F%E6%9C%BA%E6%95%88%E5%BA%94&amp;diff=9201&amp;oldid=6065">显示更改</a>

RainW https://wiki.statsape.com/index.php?title=%E7%BB%84%E5%86%85%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0_%E9%9A%8F%E6%9C%BA%E6%95%88%E5%BA%94&diff=6065&oldid=prev 2024-01-19T11:06:43Z

<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) 19:06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>Intraclass Correlation Coefficient_Random<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=Intraclass Correlation Coefficient_Random</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::</del>ICCR<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>|abbreviation=ICCR</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; white-space: pre-wrap;"><div>|funcsubcategory=[[DataAGM Lv1 Cat::相关分析]]</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>|funcsubcategory=[[DataAGM Lv1 Cat::相关分析]]</div></td></tr> <tr><td colspan="2" class="diff-lineno" id="mw-diff-left-l24">第24行：</td> <td colspan="2" class="diff-lineno">第24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>|nodeoutputports=WorkFlow-Control ➤;Transfer-Table ■</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>|nodeoutputports=WorkFlow-Control ➤;Transfer-Table ■</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>|statsapewikiurl=https://wiki.statsape.com/组内相关系数_随机效应</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>|statsapewikiurl=https://wiki.statsape.com/组内相关系数_随机效应</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>|previousnode=[[<del style="font-weight: bold; text-decoration: none;">Two_Way_ANCOVA</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>|previousnode=[[<ins style="font-weight: bold; text-decoration: none;">典型相关分析</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>|nextnode=[[组内相关系数_混合效应]]</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>|nextnode=[[组内相关系数_混合效应]]</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>}}</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>}}</div></td></tr> <tr><td colspan="2" class="diff-side-deleted"></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><ins style="font-weight: bold; text-decoration: none;"></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;"><br/></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;"><br/></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;"><br/></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;"><br/></td></tr> <!-- diff cache key statsape_wiki:diff::1.12:old-5309:rev-6065 --> </table>

Zeroclanzhang https://wiki.statsape.com/index.php?title=%E7%BB%84%E5%86%85%E7%9B%B8%E5%85%B3%E7%B3%BB%E6%95%B0_%E9%9A%8F%E6%9C%BA%E6%95%88%E5%BA%94&diff=5309&oldid=prev 2024-01-18T14:09:42Z

<p>创建页面，内容为“{{Infobox nodebasic |nodename=组内相关系数_随机效应 |nodeimage=Intraclass Correlation Coefficient_Random.png |icon=Intraclass Correlation Coefficient_Random.svg |simpleicon=Intraclass Correlation Coefficient_Random_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=Has english name::Intraclass Correl…”</p> <p><b>新页面</b></p><div>{{Infobox nodebasic <br /> |nodename=组内相关系数_随机效应<br /> |nodeimage=Intraclass Correlation Coefficient_Random.png<br /> |icon=Intraclass Correlation Coefficient_Random.svg<br /> |simpleicon=Intraclass Correlation Coefficient_Random_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::Intraclass Correlation Coefficient_Random]]<br /> |abbreviation=[[Has abbreviation::ICCR]]<br /> |funcmaincategory=数据分析<br /> |funcsubcategory=[[DataAGM Lv1 Cat::相关分析]]<br /> |nodecategory=数据挖掘<br /> |nodeinterpretor=R<br /> |nodeshortdescription=&lt;p&gt;组内相关系数是衡量和评价观察者间信度和复测信度的信度系数指标之一。也就是说常用于衡量某个指标在多次测量中的一致性或者相似性。该算法有两种随机效应:第一种是个体随机,每个样本都是随机选择。第二种是个体和各组之间都是随机。即所有效应互相独立。&lt;/p&gt;&lt;p&gt;用途：用于评估同一组内数据的相似性。&lt;/p&gt;&lt;p&gt;参数：选择多个连续型或离散型数值变量。&lt;/p&gt;<br /> |nodeinputnumber=3<br /> |nodeoutputnumber=2<br /> |nodeloopsupport=是<br /> |nodeifswitchsupport=否<br /> |nodeavailableplotlist=PointPlot<br /> |nodeavailabletablelist=Stats-Value;F-Value;df;P-Value;CI<br /> |nodeconfiguration=VariableList;DropMenu;Text<br /> |nodeinputports=WorkFlow-Control ➤;Transfer-Variable ◆;Transfer-Table ■<br /> |nodeoutputports=WorkFlow-Control ➤;Transfer-Table ■<br /> |statsapewikiurl=https://wiki.statsape.com/组内相关系数_随机效应<br /> |previousnode=[[Two_Way_ANCOVA]]<br /> |nextnode=[[组内相关系数_混合效应]]<br /> }}<br /> <br /> <br /> {{Navplate AlgorithmNodeList}}<br /> <br /> [[Category:相关分析]]</div>

Zeroclanzhang