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

Logical Types

Let's now turn our attention to logical data types.

Logical data types in R are data types that can hold only two values: TRUE (or T) and FALSE (or F). These values are case-sensitive (e.g., false is not recognized as a logical type) and are primarily used to evaluate conditions and expressions.

For instance, if you evaluate 2 > 1, it will return TRUE because 2 is indeed greater than 1. This principle will be highly relevant in later chapters.

Numbers and strings (text) can also be converted to logical types. Any number except 0 will be converted to TRUE (0 converts to FALSE), and the strings 'F', 'false', 'False', and 'FALSE' will convert to the logical FALSE. The same principle applies for logical TRUE.

When converting logical values to numbers, FALSE becomes 0, and TRUE becomes 1.

Task

Assign the result of the expression 19*54 > 76*13 to the variable logic.
Show the value of the logic variable.
Show the data type of the logic variable.
Convert the logic variable to an integer and show the result.

Avoid using the print() function.

Everything was clear?

Section 2. Chapter 4

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Course Content

R Introduction: Part I

R Introduction: Part I

Logical Types

Let's now turn our attention to logical data types.

Logical data types in R are data types that can hold only two values: TRUE (or T) and FALSE (or F). These values are case-sensitive (e.g., false is not recognized as a logical type) and are primarily used to evaluate conditions and expressions.

For instance, if you evaluate 2 > 1, it will return TRUE because 2 is indeed greater than 1. This principle will be highly relevant in later chapters.

Numbers and strings (text) can also be converted to logical types. Any number except 0 will be converted to TRUE (0 converts to FALSE), and the strings 'F', 'false', 'False', and 'FALSE' will convert to the logical FALSE. The same principle applies for logical TRUE.

When converting logical values to numbers, FALSE becomes 0, and TRUE becomes 1.

Task

Assign the result of the expression 19*54 > 76*13 to the variable logic.
Show the value of the logic variable.
Show the data type of the logic variable.
Convert the logic variable to an integer and show the result.

Avoid using the print() function.

Everything was clear?

Section 2. Chapter 4

toggle bottom row

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