Dear All
I am trying to include sampling weights in multilavel regression analysis using
packege lme4 using following codes
print(fm1 <- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting), dataset,REML
= FALSE), corr = FALSE)
print(fm2 <- lmer(DC~sex+age+smoker+alcohol+fruits(1|setting), d
I am doing Principal Component Analysis (PCA) on assets data for household
income prediction. The problem is that the assets data are rank ordered
(usually binary ... possess car/don't possess car), so the normal correlation
is inappropriate for the calculation of the PCA. Instead one has to use
2 matches
Mail list logo