Good! Now it's time to learn how to store multiple values within a single variable. Using vectors is the answer.

In the first chapter of the current section, we mentioned that a vector is like local storage for different values. It's crucial to understand that **vector can only contain the data of the same type**, i.e., you can not store integers, complex numbers, and logical values within one vector.

To create a vector in R, just put all the values separated by a comma within the `c()` function! For example,

vec <- c(1, 2, 3) # Create a vector
vec # Output its value

The script will output:
```
[1] 1 2 3
```

If you put different data types within the `c()` function, only one type will be chosen. For example, if you create such a vector `c(1, 2, 'some text')`, all the numbers will be converted into text! The logic is simple - if you try to create a vector with different types, then R will choose the one method that all the values can be converted into it.

In the first section, you will consider the very basics of R - outputting and performing basic operations. You will finish the section with the variables theory.

In the second section, you will learn the vector class in R, which represents single values too. You will consider the main data types for single values and how to work with multiple values of a kind at once.

Factors (or categorical variables) are widely used in real life. These are blood types, currencies, nationalities, brands, etc. Unlike numerical variables, factors are limited to a finite number of values.