1.0.3

The goal of this package is to solve several R portability issues that arise when developing R analytics for use in your local R environment and in the DeployR server environment. They are package portability, input portability, and portable access to data files.

• Replaces the now defunct RevoScriptTools package.
• Includes these three functions:
  1. Use deployrPackage() to declare your package dependencies in your R code.
  2. Use deployrInput() to declare the required inputs along with default values in your R code.
  3. Use deployrExternal() to access big data files from your R code.

Install Package

>  install_github('deployr/deployrUtils@v1.0.3')

Change History Rollup

• Change History Rollup: v1.0.2...v1.0.3
• Github: git checkout v1.0.3

1.0.2

The goal of this package is to solve several R portability issues that arise when developing R analytics for use in your local R environment and in the DeployR server environment. They are package portability, input portability, and portable access to data files.

• Replaces the now defunct RevoScriptTools package.
• Includes these three functions:
  1. Use deployrPackage() to declare your package dependencies in your R code.
  2. Use deployrInput() to declare the required inputs along with default values in your R code.
  3. Use deployrExternal() to access big data files from your R code.

Install Package

> install_github('deployr/deployrUtils@v1.0.2')

[or]

Download directly:

Platform	Binary Package
Windows	deployrUtils_1.0.2.zip
(OSX, *nix, BSD, etc)	deployrUtils_1.0.2.tar.gz

Release Highlights

This is only a rebranding and documentation release.

Change History Rollup

• Change History Rollup: v1.0.1...v1.0.2
• Github: git checkout v1.0.2

1.0.1

The deployrUtils package was created for DeployR 7.4.1. The goal of this package is to solve several R portability issues that arise when developing R analytics for use in your local R environment and in the DeployR server environment. They are package portability, input portability, and portable access to data files.

• Written for DeployR 7.4.1
• Replaces the now defunct RevoScriptTools package.
• Includes these three functions:
  1. Use deployrPackage() to declare your package dependencies in your R code.
  2. Use deployrInput() to declare the required inputs along with default values in your R code.
  3. Use deployrExternal() to access big data files from your R code.

This release fixes a breaking issue (#6) in deployrInput() and has been delivered along with a newly patched DeployR 7.4.1 server, which bundles this version of the package.

Note: This package will not be bundled with DeployR in the same fashion going forward (#7) thereby making changes to deployrUtils will be easier and faster.

Install Package

> install_github('deployr/deployrUtils@v1.0.1')

[or]

Download directly:

Platform	Binary Package
Windows	deployrUtils_1.0.1.zip
(OSX, *nix, BSD, etc)	deployrUtils_1.0.1.tar.gz

Release Highlights

Fixes (#6) in the deployrInput() API.

Change History Rollup

• Change History Rollup: v1.0.0...v1.0.1
• Github: git checkout v1.0.1

1.0.1-rc1

1.0.1 RC-1 (Pre-release)

This is a brief pre-release that attempts to fix a breaking issue (#6) in deployrInput() in order to help unblock people in the immediate. The official release will follow in conjunction with a new DeployR server push which bundles this package. This package will not be bundled with DeployR in the same fashion going forward (#7) thereby making changes to deployrUtils will be easier and faster.

Intall Package

> install_github('deployr/deployrUtils@v1.0.1-rc1')

Install Supplied Package onto DeployR

LINUX

1. Download and explode the attached zip patch-linux.tar.gz
2. Copy supplied deployrUtils_1.0.1.tar.gz into your DeployR server install:
   $ cp ./patch-linux/deployrUtils_1.0.1.tar.gz /home/deployr-user/deployr/7.4.1/rserve/RScripts
3. Copy supplied source.R into your DeployR server install:
   $ cp ./patch-linux/source.R /home/deployr-user/deployr/7.4.1/rserve/RScripts
4. Remove the old deployrUtils/:
   $ rm -rf /home/deployr-user/deployr/7.4.1/rserve/R/deployrUtils/
5. Stop DeployR:
   $ /home/deployr-user/deployr/7.4.1/stopAll.sh
6. Start DeployR:
   $ /home/deployr-user/deployr/7.4.1/startAll.sh

Windows

1. Download and explode the attached zip patch-windows.zip
2. Copy supplied deployrUtils_1.0.1.zip into your DeployR server install:
   $ copy .\patch-windows\deployrUtils_1.0.1.zip C:\Revolution\DeployR-7.4\rserve\RScripts
3. Copy supplied source.R into your DeployR server install:
   $ copy .\patch-windows\source.R C:\Revolution\DeployR-7.4\rserve\RScripts
4. Remove the old deployrUtils:
   $ rmdir /S C:\Revolution\DeployR-7.4\rserve\R\deployrUtils
5. Stop and Start the RSeve7.4 service

Package Overview

The deployrUtils package was created for DeployR 7.4.1. The goal of this package is to solve several R portability issues that arise when developing R analytics for use in your local R environment and in the DeployR server environment. They are package portability, input portability, and portable access to data files.

• Written for DeployR 7.4.1
• Replaces the now defunct RevoScriptTools package.
• Includes these three functions:
  1. Use deployrPackage() to declare your package dependencies in your R code.
  2. Use deployrInput() to declare the required inputs along with default values in your R code.
  3. Use deployrExternal() to access big data files from your R code.

Release Highlights

Fixes (#6) in the deployrInput() API.

Change History Rollup

• Change History Rollup: v1.0.0...v1.0.1-rc1
• Github: git checkout v1.0.1-rc-1

1.0.0

This first release of deployrUtils was created for DeployR 7.4.1. The goal of this package is to solve several R portability issues that arise when developing R analytics for use in your local R environment and in the DeployR server environment. They are package portability, input portability, and portable access to data files.

Release Highlights

• Written for DeployR 7.4.1
• Replaces the now defunct RevoScriptTools package.
• Includes these three functions:
  1. Use deployrPackage() to declare your package dependencies in your R code.
  2. Use deployrInput() to declare the required inputs along with default values in your R code.
  3. Use deployrExternal() to access big data files from your R code.

Change History Rollup

• N/A