Explained Variance
Compares tau-squared from empty model (omnibus or overall weighted mean) to model with moderators and provides percentage of explained variance.
r2(x)
x |
Will take either a |
AC Del Re & William T. Hoyt
Maintainer: AC Del Re acdelre@gmail.com
# Sample data id<-c(1:20) n.1<-c(10,20,13,22,28,12,12,36,19,12,36,75,33,121,37,14,40,16,14,20) n.2 <- c(11,22,10,20,25,12,12,36,19,11,34,75,33,120,37,14,40,16,10,21) g <- c(.68,.56,.23,.64,.49,-.04,1.49,1.33,.58,1.18,-.11,1.27,.26,.40,.49, .51,.40,.34,.42,1.16) var.g <- c(.08,.06,.03,.04,.09,.04,.009,.033,.0058,.018,.011,.027,.026,.0040, .049,.0051,.040,.034,.0042,.016) mod<-factor(c(rep(c(1,1,2,3),5))) mods2<-c(rep(1:5,4)) df<-data.frame(id, n.1,n.2, g, var.g,mod, mods2) # Examples # mareg fuction temp <- mareg(g~ mod + mods2, var = var.g, method = "REML", data = df) r2(temp)
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