Dear Edward
Every time you call your function powercrosssw() it resets the seed so
you must be calling it multiple times in some way.
Michael
On 14/06/2020 13:57, Phat Chau wrote:
Thank you Michael.
I will clarify some more. The function in the first part of the code that I
posted
Thank you Michael.
I will clarify some more. The function in the first part of the code that I
posted generates the simulated dataset for a cluster randomized trial from the
simstudy package.
I am not quite clear what you mean by placing it outside the loop. So the goal
here is to create n
Hi there,
Built R 4.0.1 with the Intel Composer 19.1.1. Build seems to go fine. I built
it like this:
module purge
module load intel/19.1.1
module list
export CC=icc
export CXX=icpc
export F77=ifort
export FC=ifort
export AR=xiar
export LD=xild
export CFLAGS="-O3 -ipo -qopenmp
I am not 100% clear what your code is doing as it gets a bit wangled as
you posted in HTML but here are a couple of thoughts.
You need to set the seed outside any loops so it happens once and for all.
I would test after trycatch and keep a separate count of failures and
successes as the
Hi Saudi,
Apologies for the delay. (also returning to the list)
In your initial code:
model1<- lmer (better ~ gender + age + education + WF + (1 | part),
> data=sub_data)
you have age as a fixed effect and there are also 36 levels. This
probably causing the error you describe above and I have
Hello,
I put together the following code and am curious about its correctness. My
first question relates to the Monte Carlo simulations – the goal is to continue
to iterate until I get n = 1000 simulations where the model successfully
converges. I am wondering if I coded it correctly below
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