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| {{Infobox nodebasic
| | #Redirect [[One_Way_ANCOVA]] |
| |nodename=One_Way_ANCOVA
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| |nodeimage=One Way ANCOVA.png
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| |icon=One Way ANCOVA.svg
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| |simpleicon=One Way ANCOVA_Pure.svg
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| |developer=Dev.Team-DPS
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| |productionstate={{图标文件|Win}} / {{图标文件|W10}} Win10及以上可用
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| |productionstatedesc=在[[Update:DecisionLinnc 1.0.2.0|V1.0.2]]部署
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| |nodeenglishname=[[Has english name::One Way ANCOVA]]
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| |abbreviation=[[Has abbreviation::ANCOVAO]]
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| |funcmaincategory=数据分析
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| |funcsubcategory=[[DataAGM Lv1 Cat::方差分析]]
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| |nodecategory=数据挖掘
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| |nodeinterpretor=R
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| |nodeshortdescription=<p>单因素协方差分析One Way ANCOVA是一种用来比较一个因变量在一个因子水平上的均值是否有显著差异的统计方法,同时控制一个或多个协变量的影响。</p><p>用途:用于调整后的均值比较和控制混杂变量。</p><p>参数:选择正态分布数值因变量,和分组自变量,一个或多个协变量。</p>
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| |nodeinputnumber=5
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| |nodeoutputnumber=3
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| |nodeloopsupport=是
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| |nodeifswitchsupport=否
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| |nodeavailableplotlist=PointPlot
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| |nodeavailabletablelist=df;MSE;F-Value;PES;P-Value
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| |nodeconfiguration=VariableList;DropMenu
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| |nodeinputports=WorkFlow-Control ➤;Transfer-Variable ◆;Transfer-Table ■
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| |nodeoutputports=WorkFlow-Control ➤;Transfer-Variable ◆;Transfer-Table ■
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| |statsapewikiurl=https://wiki.statsape.com/One_Way_ANCOVA
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| |previousnode=[[多元方差分析]]
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| |nextnode=[[Two_Way_ANCOVA]]
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| }}
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| {{Navplate AlgorithmNodeList}}
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| [[Category:方差分析]]
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