Thank you for your help Abby!
On Wed, Dec 16, 2020 at 11:32 PM Abby Spurdle wrote:
> Hi Chao Liu,
>
> I'm having difficulty following your question, and examples.
> And also, I don't see the motivation for increasing, then decreasing
> the sample sizes.
> Intuitively, one would compute the corre
Hi Chao Liu,
I'm having difficulty following your question, and examples.
And also, I don't see the motivation for increasing, then decreasing
the sample sizes.
Intuitively, one would compute the correct sample sizes, first time round...
But I thought I'd add some comments, just in case they're u
Sigh. You still haven't read the Posting Guide? HTML email causes problems with
this mailing list so do send email using your mail client's plain text option.
You assert that
>The probability of excluding an observation within each cluster was not uniform
but having a different number excluded
Thank you for the reminder, Jeff. I am new to R-help and so please
bear with my ignorance. This is not homework and here is a
reproducible example. The number of observations per cluster doesn't
follow the condition specified above though, I just used this to
convey my idea.
> y <- rnorm(20)
>
This is R-help, not R-do-my-work-for-me. It is also not a homework help line.
The Posting Guide is required reading. Assuming this is not homework, since
each step in your problem definition can be mapped to a fairly basic operation
in R (the sample function and indexing being key tools), you sh
Dear R experts,
I want to simulate some unbalanced clustered data. The number of clusters
is 20 and the average number of observations is 30. However, I would like
to create an unbalanced clustered data per cluster where there are 10% more
observations than specified (i.e., 33 rather than 30). I t
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