4 ms·

After a couple of minutes on their website I still can't figure out what advantage this offers over using RStudio as an IDE and/or running scripts with the defa

by psv1 7y ago

After a couple of minutes on their website I still can't figure out what advantage this offers over using RStudio as an IDE and/or running scripts with the default CRAN R installation.

ngcc_hk 7y ago
Not yet tried but open source ... free ...
williamstein 7y ago
After a few minutes I can't even tell what problems this is supposed to solve or if it is even related to solving an IDE problem... the actual site starts with bullet points that describe the product, but not what problems it solves: " - Open source with Enteprise [sic] support. - Designed to separate..." The very first bullet point has a typo so maybe this isn't very mature yet?
- wjak 7y ago
  Thanks for finding typo. It is mature. We have used it to deploy R to big players. And use it for our consulting services everyday. Check docs (https://rsuite.io/RSuite_Tutorial.php https://rsuite.io/RSuite_Tutorial.php) and examples (e.g.https://github.com/WLOGSolutions/RSuite-examples https://github.com/WLOGSolutions/RSuite-examples )
wodenokoto 7y ago
Only read the headlines. My understanding is that they have version control of packages (something to the effect of a virtual environment, but maybe with a completely different approach)
- wjak 7y ago
  It goes deeper. We were lacking definition of R project. Pkgs management is part of project management.
  - ksevastyanenko 7y ago
    You might find this package useful for pkg management problem https://github.com/robertzk/lockbox https://github.com/robertzk/lockbox
wjak 7y ago
Hi, I one of the creators. From GitHub page: R Suite an R package which together with R Suite CLI tool enables you to design deployment workflow that fits you and makes R your primary data science platform. It has beed developed by WLOG Solutions company to make their development and deployment data science process robust. R Suite gives answers to the following challenges for any R based software and data science solution: - Isolated and reproducible projects with controlled dependencies and configuration. - Separation of business, infrastructural and domain logic. - Package based solution development. - Management of custom CRAN-alike repositories. - Automation of deployment package preparation. - Flawless integration with Docker. - Development process integrated with version control system (currently git and svn). - Working in internetless environments.
- psv1 7y ago
  My job is pretty much only writing R code and managing R models running in production. I still don't understand what your product offers that I don't already have, or how it achieves what it claims to achieve. Copying and pasting the sales pitch from your website didn't clear things up for me.
  - wjak 7y ago
    To make this discussion better you should tell more about your development and deployment process. This includes definition of the project you use.
    - scottlocklin 7y ago
      If you really solved: >isolated and reproducible projects with controlled dependencies and configuration. ... that would be huge. Sticking it in docker containers is also a decent idea. Thanks for writing it, and pay no mind to ding dongs on here who can't be bothered to learn the language and its tooling, but sure do have an opinion on the topic.
      - wjak 7y ago

by psv1 7y ago

After a couple of minutes on their website I still can't figure out what advantage this offers over using RStudio as an IDE and/or running scripts with the default CRAN R installation.

ngcc_hk 7y ago

Not yet tried but open source ... free ...

williamstein 7y ago

After a few minutes I can't even tell what problems this is supposed to solve or if it is even related to solving an IDE problem... the actual site starts with bullet points that describe the product, but not what problems it solves: " - Open source with Enteprise [sic] support. - Designed to separate..." The very first bullet point has a typo so maybe this isn't very mature yet?

wjak 7y ago
Thanks for finding typo. It is mature. We have used it to deploy R to big players. And use it for our consulting services everyday. Check docs (https://rsuite.io/RSuite_Tutorial.php https://rsuite.io/RSuite_Tutorial.php) and examples (e.g.https://github.com/WLOGSolutions/RSuite-examples https://github.com/WLOGSolutions/RSuite-examples )

wodenokoto 7y ago

Only read the headlines. My understanding is that they have version control of packages (something to the effect of a virtual environment, but maybe with a completely different approach)

wjak 7y ago
It goes deeper. We were lacking definition of R project. Pkgs management is part of project management.
- ksevastyanenko 7y ago
  You might find this package useful for pkg management problem https://github.com/robertzk/lockbox https://github.com/robertzk/lockbox

wjak 7y ago

Hi, I one of the creators. From GitHub page: R Suite an R package which together with R Suite CLI tool enables you to design deployment workflow that fits you and makes R your primary data science platform. It has beed developed by WLOG Solutions company to make their development and deployment data science process robust. R Suite gives answers to the following challenges for any R based software and data science solution: - Isolated and reproducible projects with controlled dependencies and configuration. - Separation of business, infrastructural and domain logic. - Package based solution development. - Management of custom CRAN-alike repositories. - Automation of deployment package preparation. - Flawless integration with Docker. - Development process integrated with version control system (currently git and svn). - Working in internetless environments.

psv1 7y ago
My job is pretty much only writing R code and managing R models running in production. I still don't understand what your product offers that I don't already have, or how it achieves what it claims to achieve. Copying and pasting the sales pitch from your website didn't clear things up for me.
- wjak 7y ago
  To make this discussion better you should tell more about your development and deployment process. This includes definition of the project you use.
  - scottlocklin 7y ago
    If you really solved: >isolated and reproducible projects with controlled dependencies and configuration. ... that would be huge. Sticking it in docker containers is also a decent idea. Thanks for writing it, and pay no mind to ding dongs on here who can't be bothered to learn the language and its tooling, but sure do have an opinion on the topic.
    - wjak 7y ago