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R Programming Fundamentals

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Questions and Answers

What is the primary purpose of using variables in programming?

To reduce the number of lines of code

To make the program more efficient

To increase the complexity of the program

To make the program more flexible (correct)

What is the term for a set of instructions written in a computer language?

Algorithm

Computer Language

Software Program (correct)

Script

What type of variable is used to store a collection of data, such as numbers or strings?

Lists (correct)

Data Frames

String

Numeric

What is the term for the language used to write algorithms?

Programming Language Signup and view all the answers

What is the result of running a script with a set of inputs?

A result Signup and view all the answers

What is the purpose of an algorithm in a program?

To perform a specific task Signup and view all the answers

What is the symbol used to assign a value to a variable?

<- Signup and view all the answers

Study Notes

What is a Program?

A program is a set of instructions written in a computer language that a computer follows to perform a specific task.
The set of instructions is called an algorithm.

Programming Language

A programming language is the language used to write algorithms.

Variables

Variables are used in programs to make the programs more flexible.
Variables are used to store a set of things (usually numbers) that are provided to the script.
The algorithm runs using the variables and provides a result.
Variables can be used to make recipes more flexible, for example, by providing the number of people being cooked for.

Types of Variables

Numeric variables
String variables
Data Frames variables
Lists variables

Creating a Variable

To create a variable, simply write the new variable name and assign a value using the assignment operator.

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Description

Review notes for a programming final exam covering R code basics, data structures, conditional statements, loops, functions, and data visualization. Topics include basic operations, sequences, vectors, matrices, data frames, lists, and statistical functions.