# What is R and Why Learning R Programming

# What is R?

**R**can be used to compute a large variety of classical statistic tests including:**Student’s t-test**comparing the means of two groups of samples**Wilcoxon test**, a non parametric alternative of**t-test****Analysis of variance**(ANOVA) comparing the means of more than two groups**Chi-square test**comparing proportions/distributions**Correlation analysis**for evaluating the relationship between two or more variables

It’s also possible to use R for performing

**classification analysis**such as:**Principal component analysis****clustering**

**Many types of graphs**can be drawn using R, including: box plot, histogram, density curve, scatter plot, line plot, bar plot, …

# Why learning R?

**R**is**open source**, so it’s free.**R**is**cross-plateform**compatible, so it can be installed on Windows, MAC OSX and Linux**R**provides a wide variety of**statistical techniques**and**graphical capabilities**.**R**provides the possibility to make a**reproducible research**by embedding script and results in a single file.**R**has a**vast community**both in academia and in business**R**is**highly extensible**and it has thousands of well-documented extensions (named R packages) for a very broad range of applications in the financial sector, health care,…It’s

**easy to create R packages**for solving particular problems

# Infos

This analysis has been performed using **R software** (ver. 3.2.3).

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