Hi Thanoon,
Not sure how we can help when you ask such a vague, broad question.
But in any case, I would recommend using the package lavaan in R.
Look it up: http://lavaan.ugent.be/
Patrick
2014-04-06 6:26 GMT-06:00 thanoon younis thanoon.youni...@gmail.com:
hi
i need your help to know how
Have you tried running it using lmer() in lme4 instead, see if that helps?
Patrick
2014-03-27 6:21 GMT-06:00 Laura Thomas skagandboneg...@hotmail.com:
Hi All,
I am using R for the purpose of multilevel modelling for the first time. I am
trying to examine individuals interpersonal changes in
Hi Andrea,
I'm not exactly sure what you're trying to do, but you've included a
random effect for a site coefficient that's not even in your list of
fixed effects... you're basically allowing the coefficient for site to
vary across routes, but you're never including the coefficient in the
first
Hi,
Try ab[a==3,]
You're selecting only rows for which a==3 (before the comma), and all
columns (empty condition for column index, after the comma)
Patrick
2013/5/9 jpm miao miao...@gmail.com:
Hi,
As an example, how can I get the data such that field a of ab, ab[a],
equals 3? I expect
Hi Jason,
I think that the easiest for you would be to keep your current elseif
statements as is, but change your NA into something else (e.g., -999,
or anything else). To do this in one line, you can use the package
gdata.
In this code, I assume that your data are stored in the variable
Hi Andrew,
I don't know the dataset at all (and you seem to assume that your
readers will), but anyway: it looks like you're trying to do an
intercept-only model. If that's the case, try:
logmod11 - lmer(log(Reaction) ~ 1 + (1|Subject),REML=FALSE)
1 is the intercept, and anything in
Hello Shyam,
if your data is stored in variable dataset, for example, the following
code will create the desired dummy-coded variables and attach them to the
dataset:
##
#init vars
SWHE=BARL - vector(length=nrow(dataset))
SWHE[]=BARL[] - 0 #initialize dummy-coded vars with
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