Hi Marietta,
You may not be aware that the variable k is doing nothing in your
example except running the random variable generation 2 or 3 times for
each cycle of the outer loop as each successive run just overwrites
the one before. If you want to include all two or three lots of values
you will h
Dear Marietta
Comments in-line
On 01/07/2016 18:28, Marietta Suarez wrote:
i'm trying to generate data for a meta analysis. 1- generate data following
a normal distribution, 2- generate data following a skewed distribution, 3-
generate data following a logistic distribution. i need to loop this
Hint: It's much more efficient not to loop and generate random data in
a single call only once -- then make your samples. (This can even
often be done with different distribution parameters, as in many cases
these can also be vactorized)
Example:
## 1000 random samples of size 100
> set.seed(112
You might look at the package
Wakefield
For data generation
-Original Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Marietta Suarez
Sent: Friday, July 01, 2016 1:28 PM
To: r-help@r-project.org
Subject: [R] trouble double looping to generate data for a meta
i'm trying to generate data for a meta analysis. 1- generate data following
a normal distribution, 2- generate data following a skewed distribution, 3-
generate data following a logistic distribution. i need to loop this
because the # of studies in each meta will be either 10 or 15. k or total
numb
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