Learn R By Examples

Learn R By Examples
Start from basic level and move all the way up to professional references

R is a powerful programming language for statistical computing and data analysis.

It was developed in the early 1990s by Ross Ihaka and Robert Gentleman, and released in 2000.

R is still maintained by the R Core Team.

Who uses R?

Here¿s a list of some top-tier companies that you know that use R.

Facebook: For behavior analysis related to status updates and profile pictures.

Google: For advertising effectiveness and economic forecasting.

Twitter: For data visualization and semantic clustering.

Uber: For statistical analysis.

Airbnb: Scale data science.

ANZ: For credit risk modeling.

Why Choose R?

Here are some of the features that make R an appealing choice.

R is Popular: R ranks 22nd in the TIOBE index (a measure of popularity of programming languages).

R is Simple: R has a simple syntax similar to the English language.

R is Free: The R is developed under an open-source license, making it free to install, use, and distribute, even for commercial purposes.

R is Platform Independent: R works on different platforms (Windows, Mac and Linux).

R is Portable: Code written for one platform will work on any other platform.

R is Interpreted: Meaning that code can be executed as soon as it is written. This means, quicker development cycles.

This book is designed for software programmers, statisticians and data miners who are looking forward for developing statistical software using R programming. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.

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