f.e.model = lmer(Score ~ Relation_PenultimateLast*ExpertiseType + (1|TrajectoryType) + (1|StimulusType), data=datasheet.complete)
在我的模型中,我发现了两个效果(ExpertiseType和Relation_PenultimateLast)之间的交互:
Scaled residuals:
Min 1Q Median 3Q Max
-2.37256 -0.89147 -0.04263 0.76205 2.03113
Random effects:
Groups Name Variance Std.Dev.
TrajectoryType (Intercept) 0.02033 0.1426
StimulusType (Intercept) 0.02467 0.1571
Residual 1.29905 1.1398
Number of obs: 8200, groups: TrajectoryType, 25; StimulusType, 8
Fixed effects:
Estimate Std. Error df t value
(Intercept) 3.34776 0.11432 60.00000 29.285
Relation_PenultimateLast -0.08628 0.03489 75.00000 -2.473
ExpertiseType -0.09776 0.03647 8166.00000 -2.680
Relation_PenultimateLast:ExpertiseType 0.05219 0.01274 8166.00000 4.097
Pr(>|t|)
(Intercept) < 2e-16 ***
Relation_PenultimateLast 0.01568 *
ExpertiseType 0.00737 **
Relation_PenultimateLast:ExpertiseType 4.22e-05 ***
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Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
在我希望看到的情节中:
x axis: Relation_PenultimateLast
y.axis: effect
colour: ExpertiseType
所以要有3行显示每个Relation_PenultimateLast的首选项(没有随机效果)
有可能吗? (我已安装:interplot,ggplot,ggplot2,sjPlot)