[R] SamplingStrata R package
bgunter.4567 at gmail.com
Tue Oct 31 16:20:56 CET 2017
If yours is primarily a statistics issue (I can't tell), you might do
better posting on a statistics list like stats.stackexchange.com.
On Tue, Oct 31, 2017 at 8:15 AM, Chris S <cjsilwood at gmail.com> wrote:
> Hi Bert
> thank you for the reply. Not a coding query as such. Just wanted some
> pointers towards how to handle strata using the package in my situation,
> i.e. business type X business size with information for count and financial
> many thanks
> On 31 October 2017 at 14:37, Bert Gunter <bgunter.4567 at gmail.com> wrote:
>> 1. There is no question here.
>> 2. In any case, this is not a code writing service, so a question about
>> how to code models without any offering of your own attempts might not be
>> replied to anyway.
>> 3. For what sorts of queries you might expect replies to, please read and
>> follow the posting guide below. Also, if you do post, please post in plaint
>> text, not html, as the latter (especially code) can get mangled by the mail
>> Bert Gunter
>> "The trouble with having an open mind is that people keep coming along
>> and sticking things into it."
>> -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )
>> On Tue, Oct 31, 2017 at 4:43 AM, Chris S <cjsilwood at gmail.com> wrote:
>>> Hi all
>>> I am hoping to use the SamplingStrata R package for a dataset describing
>>> population of businesses wherein I have information on the type of
>>> business, as well as, for designated employment number bands, number of
>>> employees and business turnover information. So in this context the
>>> employment number bands can be described as micro, small, medium and
>>> i.e. size of business. Hence I would like the stratification to be
>>> type X business size. I note that SamplingStrata allows for multivariate
>>> scenarios and the data frame should be straightforward to set up, but in
>>> terms of "domains" which descriptor should be used for this? I am
>>> I can use both number of employees and business turnover information to
>>> optimise the stratification sampling procedure.
>>> thank you in advance
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