R is an open up source programming vocabulary and software atmosphere for statistical processing and graphics. This is one of the primary dialects utilized by data researchers and statisticians as well. It is backed by the R Foundation for Record Computing and a big community of open up source developers. Given that R utilized a command-line user interface, there can be a steep learning curve for a few people who are utilized to using GUI-focused programs such as SPSS and SAS so extensions to L such as RStudio can be highly beneficial. Since R is a free program and openly available, there can a big attraction for academics whose entry to statistical programs is regulated through their association with various colleges or educational institutions.
Installation
The first thing you need to get started with the R course is to download it from its official site according to your operating system.
Popular R Tools and Packages
- RStudio is an integrated development environment (IDE) for R. It includes a console, syntax-highlighting editor that supports direct code execution, as well as tools for plotting, history, debugging, and workspace management.
- The Comprehensive R Archive Network (CRAN) is a leading source of R tools and resources.
- Tidyverse is an opinionated collection of R packages designed for data science like ggplot2, dplyr, readr, tidyr, purr, tibble.
- data.table is an implementation of base
data.framefocused on improved performance and terse, flexible syntax. - Shiny framework for building dashboard-style web apps in R.
