In this article, we share some ways you can set up a private R package repository you can use as a source of R packages. That might be because they work in an environment that’s isolated from the internet, or because company policy dictates that only specific R packages and/or package versions may be used. In some companies, R users can’t download R packages from CRAN. Learners will produce R packages that satisfy the criteria for submission to CRAN.By Steve Belcher, Sr Technical Specialist, Microsoft Data & AI We cover R package development, writing good documentation and vignettes, writing robust software, cross-platform development, continuous integration tools, and distributing packages via CRAN and GitHub. This section covers the primary means by which R software is organized and distributed to others. In order to maximize the usefulness and reusability of data science software, code must be organized and distributed in a manner that adheres to community-based standards and provides a good user experience. Writing good code for data science is only part of the job.

4.7.4 Example: Normal Confidence Intervals.

4.7.2 Example: An Automatic Transparency Geom.

4.5.6 Find out more about grid graphics.

4.3.5 Where to find more on mapping with R.

4.3.4 More advanced mapping – Spatial objects.

3.10.1 Web Services for Continuous Integration.

3.8.5 Linking local repo to GitHub repo.

3.5 Software Testing Framework for R Packages.

3.4.3 Common Markdown formatting elements.

2.10.2 Compose simple functions with the pipe.

2.10 Gaining Your ‘tidyverse’ Citizenship.

2.5.3 When to generate errors or warnings.2.3.2 Core Functional Programming Functions.1.10.1 How to Google Your Way Out of a Jam.1.8.1 Back of the Envelope Calculations.1.7 Text Processing and Regular Expressions.1.6.2 Pulling out date and time elements.1.6.1 Converting to a date or date-time class.1.6 Working with Dates, Times, Time Zones.1.5.4 Adding, changing, or renaming columns.1.4.2 Requesting data through a web API.1.3 Reading Tabular Data with the readr Package.

Create r package