R Introduction: Part II

R Introduction: Part II

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1. Matrices

In the first section, you will learn the two-dimensional structure that is widely used in math. In R, this data type is used not only for math purposes but also has many real-life purposes.

What is a Matrix?

matrix() Function

Matrix Indexation

Operation with Matrices

Sales and Revenue

2. Data Frames

In the second section, you will learn data frames - an 'upgraded' version of the matrix. Unlike matrix, the data frame may contain data of different types. Most real-life tables can be represented as data frames. You will learn how to create/manipulate data frames and extract necessary data.

What is a Data Frame?

data.frame() Function

Columns Accessors

Logical Indexing

Manipulating Columns

Manipulating Rows

Data Extraction

3. Lists

In the final section, you will learn the lists in R. This data type works as vectors but may contain data of different types.

What is a List?

Extracting List Elements

Columns Accessors

Since data frames have names on their columns, you should be able to extract necessary data using them.

There are several ways in R to refer to a particular column using naming. One of them is the same as in vectors and matrices: column name within square brackets (for example, data[, "col_name"]). The second way is unique for data frames - using the dollar $ sign. The syntax is data$col_name (yes, without quotation marks). For example, you can extract the column "Age" from the data frame created in the last chapter.

Task

Let's work with the mtcars dataset. Your tasks are:

Extract the cyl column values using square brackets.
Extract the disp column values using the dollar $ sign.

Everything was clear?

Section 2. Chapter 3

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Course Content

R Introduction: Part II

R Introduction: Part II

1. Matrices

What is a Matrix?matrix() Function Transposing Matrix Indexation Namings Operation with Matrices Sales and Revenue

2. Data Frames

What is a Data Frame?data.frame() Function Columns Accessors Logical Indexing Manipulating Columns Manipulating Rows Data Extraction

3. Lists

What is a List?Namings Extracting List Elements Modifying

Columns Accessors

Since data frames have names on their columns, you should be able to extract necessary data using them.

There are several ways in R to refer to a particular column using naming. One of them is the same as in vectors and matrices: column name within square brackets (for example, data[, "col_name"]). The second way is unique for data frames - using the dollar $ sign. The syntax is data$col_name (yes, without quotation marks). For example, you can extract the column "Age" from the data frame created in the last chapter.

Task

Let's work with the mtcars dataset. Your tasks are:

Extract the cyl column values using square brackets.
Extract the disp column values using the dollar $ sign.

Everything was clear?

Section 2. Chapter 3

toggle bottom row

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