Hi,
I am performing meta-regression using linear mixed-effect model with the
lme() function that has two fixed effect variables;one as a log
transformed variable (x) and one as factor (y) variable, and two nested
random intercept terms.
I want to save the predicted values from that model and show the log curve
in a plot ; predicted~log(x)
mod<-lme(B~log(x)+as.factor(y), random=~1|cohort/Study,
weights=varFixed(~I(SE^2)), na.action=na.omit, data=subset(meta),
control = lmeControl(sigma = 1, apVar = FALSE))
summary(mod)
newdat <- data.frame(x=seq(min(meta$x), max(meta$x),,118)) # I have 118
observations. #How do I add the factor variable to my newdat?
newdat$pred <- predict(mod, newdat,level = 0,type="response")
plot(B ~ x, data=meta)
lines(B ~ x, data=newdat)
Can you please assist me ?
Thank you!
Alina
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