A collection of packages which are supposed to simplify a lot of R basic statistics for upcoming data scientists and analysts and are supposed to work together. The inspiration of this framework is from watching numerous fellow data analysts struggle with a point and click interface in R when they were migrating from any other application to R.
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RStudio and some patience regarding learning the new language.
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Say what the step will be
Give the example
And repeat
until finished
End with an example of getting some data out of the system or using it for a little demo
- data.table - A high-performance version of base R's data.frame
- purrr - purrr enhances R’s functional programming (FP) toolkit by providing a complete and consistent set of tools for working with functions and vectors
- dplyr - dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges
- future - The purpose of the future package is to provide a very simple and uniform way of evaluating R expressions asynchronously using various resources available to the user
Most of the unit functions in this universe of packages will be part of tested using testthat
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- Mayuresh Kinare - (https://github.com/mkinare)
This project is licensed under the MIT License - see the LICENSE.md file for details
- A big thanks to Hadley Wickham who has been a major influence in development of this collection of packages
- stackoverflow - My major source of reading about questions and their solutions when I encounter them
- All the opensource R community out there without whom this work would never be complete