Downloads:

216,557

Downloads of v 3.0.2:

622

Last Update:

08 Jan 2014

Package Maintainer(s):

Software Author(s):

  • R Core Team

Tags:

statistics

The R Project for Statistical Computing

This is not the latest version of The R Project for Statistical Computing available.

3.0.2 | Updated: 08 Jan 2014

Downloads:

216,557

Downloads of v 3.0.2:

622

Maintainer(s):

Software Author(s):

  • R Core Team

Tags:

statistics

The R Project for Statistical Computing 3.0.2

This is not the latest version of The R Project for Statistical Computing available.

All Checks are Unknown

2 Test of Unknown Status


Validation Testing Unknown


Verification Testing Unknown

To install The R Project for Statistical Computing, run the following command from the command line or from PowerShell:

>

To upgrade The R Project for Statistical Computing, run the following command from the command line or from PowerShell:

>

To uninstall The R Project for Statistical Computing, run the following command from the command line or from PowerShell:

>

NOTE: This applies to both open source and commercial editions of Chocolatey.

1. Ensure you are set for organizational deployment

Please see the organizational deployment guide

  • Open Source or Commercial:
    • Proxy Repository - Create a proxy nuget repository on Nexus, Artifactory Pro, or a proxy Chocolatey repository on ProGet. Point your upstream to https://chocolatey.org/api/v2. Packages cache on first access automatically. Make sure your choco clients are using your proxy repository as a source and NOT the default community repository. See source command for more information.
    • You can also just download the package and push it to a repository Download

3. Enter your internal repository url

(this should look similar to https://chocolatey.org/api/v2)

4. Choose your deployment method:


choco upgrade r.project -y --source="'STEP 3 URL'" [other options]

See options you can pass to upgrade.

See best practices for scripting.

Add this to a PowerShell script or use a Batch script with tools and in places where you are calling directly to Chocolatey. If you are integrating, keep in mind enhanced exit codes.

If you do use a PowerShell script, use the following to ensure bad exit codes are shown as failures:


choco upgrade r.project -y --source="'STEP 3 URL'"
$exitCode = $LASTEXITCODE

Write-Verbose "Exit code was $exitCode"
$validExitCodes = @(0, 1605, 1614, 1641, 3010)
if ($validExitCodes -contains $exitCode) {
  Exit 0
}

Exit $exitCode

- name: Ensure r.project installed
  win_chocolatey:
    name: r.project
    state: present
    version: 3.0.2
    source: STEP 3 URL

See docs at https://docs.ansible.com/ansible/latest/modules/win_chocolatey_module.html.

Coming early 2020! Central Managment Reporting available now! More information...


chocolatey_package 'r.project' do
  action    :install
  version  '3.0.2'
  source   'STEP 3 URL'
end

See docs at https://docs.chef.io/resource_chocolatey_package.html.


Chocolatey::Ensure-Package
(
    Name: r.project,
    Version: 3.0.2,
    Source: STEP 3 URL
);

Requires Otter Chocolatey Extension. See docs at https://inedo.com/den/otter/chocolatey.


cChocoPackageInstaller r.project
{
   Name     = 'r.project'
   Ensure   = 'Present'
   Version  = '3.0.2'
   Source   = 'STEP 3 URL'
}

Requires cChoco DSC Resource. See docs at https://github.com/chocolatey/cChoco.


package { 'r.project':
  provider => 'chocolatey',
  ensure   => '3.0.2',
  source   => 'STEP 3 URL',
}

Requires Puppet Chocolatey Provider module. See docs at https://forge.puppet.com/puppetlabs/chocolatey.


salt '*' chocolatey.install r.project version="3.0.2" source="STEP 3 URL"

See docs at https://docs.saltstack.com/en/latest/ref/modules/all/salt.modules.chocolatey.html.

5. If applicable - Chocolatey configuration/installation

See infrastructure management matrix for Chocolatey configuration elements and examples.

This package was approved as a trusted package on 23 Apr 2017.

Description

The R Project for Statistical Computing


Log in or click on link to see number of positives.

In cases where actual malware is found, the packages are subject to removal. Software sometimes has false positives. Moderators do not necessarily validate the safety of the underlying software, only that a package retrieves software from the official distribution point and/or validate embedded software against official distribution point (where distribution rights allow redistribution).

Chocolatey Pro provides runtime protection from possible malware.

Version Downloads Last Updated Status
The R Project for Statistical Computing 4.0.2 15847 Monday, June 22, 2020 Approved
The R Project for Statistical Computing 4.0.1 3725 Saturday, June 6, 2020 Approved
The R Project for Statistical Computing 4.0.0 10417 Friday, April 24, 2020 Approved
The R Project for Statistical Computing 3.6.3 11035 Sunday, March 1, 2020 Approved
The R Project for Statistical Computing 3.6.2 19864 Thursday, December 12, 2019 Approved
The R Project for Statistical Computing 3.6.1 44001 Saturday, July 6, 2019 Approved
The R Project for Statistical Computing 3.6.0 22801 Sunday, April 28, 2019 Approved
The R Project for Statistical Computing 3.5.3 6442 Wednesday, March 13, 2019 Approved
The R Project for Statistical Computing 3.5.2 6517 Friday, December 21, 2018 Approved

This package has no dependencies.

Discussion for the The R Project for Statistical Computing Package

Ground Rules:

  • This discussion is only about The R Project for Statistical Computing and the The R Project for Statistical Computing package. If you have feedback for Chocolatey, please contact the Google Group.
  • This discussion will carry over multiple versions. If you have a comment about a particular version, please note that in your comments.
  • The maintainers of this Chocolatey Package will be notified about new comments that are posted to this Disqus thread, however, it is NOT a guarantee that you will get a response. If you do not hear back from the maintainers after posting a message below, please follow up by using the link on the left side of this page or follow this link to contact maintainers. If you still hear nothing back, please follow the package triage process.
  • Tell us what you love about the package or The R Project for Statistical Computing, or tell us what needs improvement.
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