I'd do it this way ... let me know if you need explanations.
minSize <- 15
maxSize <- 100
minSample <- 0.1
maxSample <- 0.8
# setup dataframe with totals, and cases as fractions
myStudies <- data.frame(study = 1:Nstudies,
cases = runif(Nstudies,
min = minSample,
max = maxSample),
total = sample(minSize:maxSize,
Nstudies,
replace = TRUE))
# convert case fractions of totals to integers
myStudies$cases <- round(myStudies$cases * myStudies$total)
Cheers,
Boris
> On Jun 29, 2017, at 9:44 AM, Naike Wang <wangnaike1...@gmail.com> wrote:
>
> Hi all,
> I want to create two groups of random numbers to calculate proportions. The
> first group is to represent the number of cases in a study. The second
> group is to represent the sample size of the study. Apparently, the sample
> size is going to have to be bigger or equal to the number of cases, but the
> sample size of a study is not necessarily greater than the number of cases
> of another study. Here's an example:
>
> study cases total
> 1 17 28
> 2 48 70
> 3 87 92
> 4 15 17
>
>
>
> Notice that the sample size of the first study is 28, which is bigger than
> the number of cases of this study, but is smaller than the number of cases
> of the second study.
>
> How do I create a data set like this?
>
> Best,
> Naike
>
> [[alternative HTML version deleted]]
>
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