R PROGRAMMING 2019-01-02T12:02:20+00:00

What is R Programming Language?

R language is an open source program maintained by the R core-development team. It is a team of volunteer developers from across the globe.

  • R language used for performing statistical operations
  • It is available from the R-Project website www.r-project.org.
  • R is a command line driven program.
  • The user enters commands at the prompt (> by default) and each command is executed one at a time.

Many routines have been written for R analytics by people all over the world and made freely available from the R project Website as packages. However, the basic installation (for Linux, Windows, or Mac) contains a powerful set of tools for most purposes.
R is a consolidated environment for performing statistical operations and generating R data analysis reports in graphical or text formats. R commands entered in the console are evaluated and executed. So, it cannot handle certain auto-formatting characters such as en-dashes or smart quotes; therefore, you need to be careful while copying and pasting commands into R from other applications. Let us now learn something about the history of R in this Introduction to R Programming.

Why Learn R Programming Language?

  • R programming language is best for statistical, data analysis and machine learning. By using this language we can create objects, functions, and packages. We can use it anywhere. It’s platform- independent, so we can apply it to all operating system. It’s free, so anyone can install it in any organization without purchasing a license.
  • R is open source. Thus, Google is utilizing R programming as it is a suitable language. By using R, we can create any form of statistics and data manipulation. Furthermore, we can use it in
    almost every field like finance, marketing, sports etc.
  • R, SAS, and SPSS are three statistical languages. Of these three statistical languages, R is the only an open source. SAS is the most important private software business in the world. SPSS is now overseen by IBM. R Programming is extensible and hence, R groups are noted for its energetic contributions. Lots of Rs typical features can be written in R itself and hence, R has gotten faster over time and serves as a glue language.

Features of R

  • It supports procedural programming with functions and object-oriented programming with generic functions. Procedural programming includes procedure, records, modules, and procedure calls. While object-oriented programming language includes class, objects, and functions.
  • Packages are part of R programming. Hence, they are useful in collecting sets of R functions into a single unit.
  • Rs programming features include database input, exporting data, viewing data, variable labels, missing data, etc.
  • R is an interpreted language. Hence, we can access it through command line interpreter.
  • R supports matrix arithmetic.
  • It has effective data handling and storage facilities.
  • R supports a large pool of operators for performing operations on arrays and matrices.
  • It has facilities to print the reports for the analysis performed in the form of graphs either on-screen or on hardcopy.

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This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.

This Is A Custom Widget

This Sliding Bar can be switched on or off in theme options, and can take any widget you throw at it or even fill it with your custom HTML Code. Its perfect for grabbing the attention of your viewers. Choose between 1, 2, 3 or 4 columns, set the background color, widget divider color, activate transparency, a top border or fully disable it on desktop and mobile.