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• 1

  Data types in R programming

  Data types are the classification or categorization of data items. It is a process of classifying data based on their characteristics and structure. Data types in R programming include integers, strings, logical, real, and complex.

• 2

  Functions and operators in R programming

  Functions are mathematical procedures that take one or more arguments and return a value. Operators are special symbols that perform operations on variables and values.

• 3

  Control structures in R programming

  Control structures are used to control the flow of execution of a program. The most common control structures used in R programming are if-else, for loop, and while loop.

• 4

  Data manipulation in R programming

  Data manipulation is the process of changing data from one format to another. It is a process of cleaning, sorting, and reorganizing data to be used for further analysis.

• 5

  Linear algebra in R programming

  Linear algebra is the branch of mathematics that deals with studying vectors and matrices. It is a fundamental tool for solving problems in physics and engineering.

• 6

  Statistics in R programming

  Statistics is the study of data collection, analysis, interpretation, presentation, and organization. It deals with all aspects of data, including the planning of data collection in terms of the design of surveys and experiments.

• 7

  R graphics

  R graphics is a system for creating static or interactive visualizations. It uses a language called graphics commands to create visualizations. The graphics commands are written in a syntax similar to the syntax of the R programming language.

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