[OGRUG] R-UG-Ottawa Digest, Vol 41, Issue 1

J C Nash profjcnash at gmail.com
Wed Feb 15 14:22:07 CET 2017


List still operational, but irregular. We've been hoping to get someone to coordinate the OGRUG group, as Paul and I are 
away a fair bit and not as active as before, at least not in meetings.

Best, JN

On 2017-02-15 06:00 AM, r-ug-ottawa-request at r-project.org wrote:
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>    1. Fwd: [OTT-GOSLING] SAS to R migration (Joseph Potvin)
>
>
> ----------------------------------------------------------------------
>
> Message: 1
> Date: Tue, 14 Feb 2017 11:23:57 -0500
> From: Joseph Potvin <jpotvin at opman.ca>
> To: "r-ug-ottawa at r-project.org" <r-ug-ottawa at r-project.org>
> Subject: [OGRUG] Fwd: [OTT-GOSLING] SAS to R migration
> Message-ID:
> 	<CAKcXiSpFaFr8ertHKt+k8jw=Suazw4Xsf8=0z70W=WatCVqZkA at mail.gmail.com>
> Content-Type: text/plain; charset="UTF-8"
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> (Is this list still operational?)
>
> Forwarding a question from a fellow at a certain science-based federal dept.
>
> Joseph Potvin
>
> ---------- Forwarded message ----------
> From: Glen Newton <glen.newton at gmail.com>
> Date: Tue, Feb 14, 2017 at 11:16 AM
> Subject: [OTT-GOSLING] SAS to R migration
> To: GOSLING members in Ottawa <ottawa-gosling at list.goslingcommunity.org>
>
>
> Does anyone on this list know of an example of any GoC or western
> government organization migrating their users/base from SAS to R?
>
> More specifically, when the organization was a science-based organization
> and the majority of the users being on the science side of things?
>
> Just a theoretical question of course...
>
> I found some useful resources but no concrete examples as per above:
> - SAS to R Migration https://www.r-bloggers.com/sas-to-r-migration/
> - A Saga Of Migrating From SAS To R
> http://www.mbtmag.com/article/2015/03/saga-migrating-sas-r
> - Helping Your Organization Migrate to R
> http://r4stats.com/2015/03/16/migrating-to-r/
> - SAS to R Migration - LondonR http://www.londonr.org/download/?id=87
>
> I am particularly interested where perhaps 90% of the use cases were
> addressed by R, and perhaps 10% still had to be in SAS, but at least
> reducing the SAS costs by 90%......
>
> Thanks,
> Glen
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