modSummary2: Make table summarizing moderation effect

In cardiomoon/processR: Implementation of the 'PROCESS' Macro

Make table summarizing moderation effect

Description

Make table summarizing moderation effect

Usage

modSummary2(
  fit,
  rangemode = 2,
  pred.values = NULL,
  summarymode = 2,
  maxylev = 6,
  digits = 3,
  labels = NULL,
  ...
)

Arguments

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()

Examples

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)

cardiomoon/processR documentation built on April 20, 2023, 3:38 a.m.