R Introduction: Part I

R Introduction: Part I

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1. Basic Syntax and Operations

In the initial section, you’ll dive into the foundational elements of R, such as generating output and performing elementary operations. This section will conclude with an exploration of the theory behind variables.

Basic Arithmetic

Using the print() Function

Integer Division and Remainders

Revenue Calculation

Assignment Operators

2. Basic Data Types and Vectors

You’ll become familiar with the vector class in R, which also handles individual values. Here, you’ll delve into the primary data types for singular values and learn how to manage multiple values of the same type simultaneously.

Type Conversion

Labeling Vectors

Indexing in Vectors

Modifying Vectors

Deleting Elements from Vectors

Arithmetic Operations with Vectors

3. Factors

Factors, also known as categorical variables, are prevalent in the real world. Examples include blood types, currencies, nationalities, and brands. Unlike numerical variables, factors have a limited set of possible values.

What is a Factor?

Indexing in Factors

Counting Values

Grouping Numeric Data

Data Types

Understanding data types is fundamental in R programming as they dictate how data is stored, interpreted, and manipulated, so let's explore the various data types in R and their characteristics.

A data type in R defines the kind of value a variable can hold and the operations that can be performed on it. It determines how the data is stored, interpreted, manipulated, and the amount of memory it occupies.

Each data type serves specific purposes and ensures that the data is handled appropriately according to its nature.

Here are the most common data types in R:

Type	Description
`double`	Represents real numbers (double-precision floating-point).
`integer`	Represents whole numbers.
`character`	Represents text strings.
`logical`	Represents Boolean values (`TRUE` or `FALSE`).

To determine the data type of a given variable, you would use the typeof() function, providing the respective variable name as its argument. For example:

Take the initiative to practice this function on your own!

Task

Assign the number 10 to a variable named chapter.
Display the data type of the chapter variable.

Everything was clear?

Section 2. Chapter 1

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Course Content

R Introduction: Part I

R Introduction: Part I

Data Types

Understanding data types is fundamental in R programming as they dictate how data is stored, interpreted, and manipulated, so let's explore the various data types in R and their characteristics.

A data type in R defines the kind of value a variable can hold and the operations that can be performed on it. It determines how the data is stored, interpreted, manipulated, and the amount of memory it occupies.

Each data type serves specific purposes and ensures that the data is handled appropriately according to its nature.

Here are the most common data types in R:

Type	Description
`double`	Represents real numbers (double-precision floating-point).
`integer`	Represents whole numbers.
`character`	Represents text strings.
`logical`	Represents Boolean values (`TRUE` or `FALSE`).

To determine the data type of a given variable, you would use the typeof() function, providing the respective variable name as its argument. For example:

Take the initiative to practice this function on your own!

Task

Assign the number 10 to a variable named chapter.
Display the data type of the chapter variable.

Everything was clear?

Section 2. Chapter 1

toggle bottom row

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