Make table summarizing moderation effect
Make table summarizing moderation effect
modSummary2( fit, rangemode = 2, pred.values = NULL, summarymode = 2, maxylev = 6, digits = 3, labels = NULL, ... )
fit |
An object of class lm |
rangemode |
An integer. If 1, mean+c(-1,0,1)*sd used. If 2, 16th, 50th and 84th percentiles are used |
pred.values |
Values of predictor variables |
summarymode |
An integer. 1 or 2. SUmmarizing method of variables. If 1, typical values are used. If 2, mean values are used |
maxylev |
An integer. Maximum length of predictor variables to be treated as a categorical variable. |
digits |
An integer indicating the number of decimal places |
labels |
Optional list of labels of variables |
... |
Further arguments to be passed to predict3d::fit2newdata() |
labels=list(X="negemot",W="sex",Z="age",Y="govact",C1="posemot",C2="ideology") fit=lm(govact~negemot*sex+negemot*age+posemot+ideology,data=glbwarm) modSummary2(fit,rangemode=2,mod2.values=c(30,50,70),summarymode=2) modSummary2(fit,mod2.values=c(30,50,70),summarymode=1,labels=labels) labels=list(X="frame",W="skeptic",Y="justify") fit=lm(justify~frame*skeptic,data=disaster) modSummary2(fit,labels=labels)
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