![rstudio sublime merge rstudio sublime merge](https://allpcworld.com/wp-content/uploads/2020/07/Sublime-Merge-1.1-One-Click-Download.jpg)
- #Rstudio sublime merge how to#
- #Rstudio sublime merge install#
- #Rstudio sublime merge update#
- #Rstudio sublime merge software#
- #Rstudio sublime merge code#
Go to the GitHub repo (`usethis::browse_github()`) Usethis::use_travis() # ext = "com" for usethis ~10 minutes Activate authorization via GitHub Apps integration Automate package-level checks for continuous integration, triggered upon any push event (and pull requests) on the GitHub repo Open-source hosted continuous integration service delete `renv.lock` and the `renv` folder In case, fall-back on `renv`-free setup and still follow the rest of the workshop If the check get stuck, it might be due to issues with `renv` (mainly on Windows) `R CMD check` built into R, conveniently accessed viaįamiliarize with the number of checks (see for reference) `golem::document_and_reload()` includes a few extras (`help()`) `devtools::load_all()` (Ctrl+Shift+L): mimics the full-install, but is much quicker
#Rstudio sublime merge code#
No need to source the app code (once the package is installed, the source package code does not even matter!) Then, launching the app is just about calling a function from the package:
![rstudio sublime merge rstudio sublime merge](https://static.macupdate.com/screenshots/167020/m/sublime-merge-screenshot.png)
# remotes::install_github("miraisolutions/compareWith") w/o renv Renv::install("miraisolutions/compareWith") Diff: RStudio, compareWith, Sublime Merge Adapt the README to your forked repo: `/Shin圜ICD-min` What changes (check the Git pane)? Should you commit the modifications? No big deal, simply align the R version in the lockfile via **Note**: If you are on R 3.6.x, you will see a warning `Project requested R version '4.0.z' but '3.6.x' is currently being used`. When you open the project (and a new R session starts), `renv` detects the project dependencies are out of sync Ensure the set of dependencies is collaboratively shared an maintained (and can be used to align production deployments) Project-specific dependencies are tracked via an `renv.lock` file (+ `.Rprofile` and `renv/`) **_Clone_** locally your forked repo ( user>/Shin圜ICD-min) as a **new RStudio project**įile > New Project. Create your own copy of the repo by () it to your GitHub user account A somewhat **minimal example** of a Shiny app showcasing the same production-readiness approach (The app developed during the morning workshop)
#Rstudio sublime merge update#
Push (()): Update remote repository using the local branch Commit (()): Record staged changes to the current branch Stage (()) changes: Prepare the content for the next commit Pull (()): Incorporate changes from a remote repository into the current local branch With GitHub remote hosting, it is the _de facto_ standard for open source (R) projects Git is a popular, free and open source version control system designed to be very efficient and to support distributed, non-linear workflows
#Rstudio sublime merge how to#
How to control what is deployed to "production" (the live app)? How to ensure it is maintained, regularly checked and ensured? **GitHub** repo to share the source code and track changes
#Rstudio sublime merge install#
Run the app: install the package and call a function! Package dependencies explicitly tracked using () `golem` : Shiny app = `devtools` (`usethis`) : R package Package () providing development framework Documentation, namespaces / dependencies, tests, sanity checks, controls. Best place for R functions to live in => modularization Shiny app developed as **R package** under **version control** # Head start: Packaged Shiny app on GitHub Target "Production": deployed and made accessible R installation: R >= 3.6.x, ideally R 4.0.x A recent version of RStudio (>= 1.2) is recommended A GitHub account is necessary for the workshop: also make sure you have its password at hand
![rstudio sublime merge rstudio sublime merge](https://forum.sublimetext.com/uploads/default/optimized/3X/7/2/720090023ac5c1369050a457d166ca3b43fd61fb_2_1035x552.png)
Concepts and principles not tailored to Shiny apps and specific tools / services GitFlow, branch control and pull requests Working example: packaged Shiny app on GitHub Passionate about machine and deep learning Academia :: Matlab => Mirai :: R (and more) Computer Science / Automatic Control Engineer by education Eager contributors to open source projects
#Rstudio sublime merge software#
100+ years of cumulative professional experience in financial services / insurance, software engineering, and professional training
![rstudio sublime merge rstudio sublime merge](https://1.bp.blogspot.com/-xGaFQUNY57Y/XtM0UxdHqcI/AAAAAAAAT-4/Va19FpZT6VQHJplbQ1DyXfjVM5Np8xk6QCLcBGAsYHQ/s1600/staging%25402x.png)
Specialist knowledge ranging from finance, risk management and actuarial knowledge to math / stats techniques Interdisciplinary team of data scientists, software engineers and IT architects # Riccardo Porreca, Peter Schmid (Francesca Vitalini) # Bring your R Application Safely to Production. Bring your R Application Safely to Production.Ĭlass: center, middle, inverse, title-slide