R Introduction: Part I

R Introduction: Part I

0%

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

Type Conversion

Indeed, while you can directly create integers in R by appending L to a number, converting existing values to integers requires a different approach. Simply appending L will cause an error, as demonstrated in the example below:

Certainly, that did not achieve the intended result.

Luckily, R simplifies the conversion process with straightforward functions like as.double(), as.integer(), and as.complex(). The function names are quite self-explanatory!

Numerical types follow a sort of 'hierarchy' where each integer can be converted to a double or a complex number, and each double can become a complex number. However, converting a double to an integer will result in truncation, not rounding, of the number to its integer component.

You cannot convert complex numbers to either double or integer unless the imaginary part is zero.

Give these functions a try!

Task

Convert the number 9.85 to an integer.
Convert the integer 42, created with L, to a double.

Everything was clear?

Section 2. Chapter 3

toggle bottom row

Course Content

R Introduction: Part I

R Introduction: Part I

Type Conversion

Indeed, while you can directly create integers in R by appending L to a number, converting existing values to integers requires a different approach. Simply appending L will cause an error, as demonstrated in the example below:

Certainly, that did not achieve the intended result.

Luckily, R simplifies the conversion process with straightforward functions like as.double(), as.integer(), and as.complex(). The function names are quite self-explanatory!

Numerical types follow a sort of 'hierarchy' where each integer can be converted to a double or a complex number, and each double can become a complex number. However, converting a double to an integer will result in truncation, not rounding, of the number to its integer component.

You cannot convert complex numbers to either double or integer unless the imaginary part is zero.

Give these functions a try!

Task

Convert the number 9.85 to an integer.
Convert the integer 42, created with L, to a double.

Everything was clear?

Section 2. Chapter 3

toggle bottom row

some-alt