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gort_fluency
2012 Apr 01
1
Degrees of Freedom for lme.
...the code I'm using
(below). So, INDEX1 is the column with brain volumns, and the predictors
are gort and age, by time ID (time they were seen).
I believe my data is set up the right way, but when I run it, I get DF for
Intercept is 49, and DF for slope is 13? Why?
lme.gort=lme(Volume ~ GORT_FLUENCY+AGE, random = ~ 1 | TIMEID, data =
subset(vol_data, INDEX1=='LH_FUSIFORM'), na.action=na.omit)
fit_vol_model1 <- function(df){
tryCatch(lme.gort <- lme(Volume ~ GORT_FLUENCY+AGE, random = ~ 1 | UID,
data=df, na.action=na.omit), error=function(err) tag <<-1)
data....