Course Content

R Introduction: Part I

## R Introduction: Part I

# Numbers

In the previous section, we observed that the number `10`

was identified as a `double`

even though it is an **integer**. Let's delve into this peculiarity.

R can categorize numeric values into several types, which are:

`double`

- representing real numbers;`integer`

- for whole numbers;`complex`

- for numbers with both a real and an imaginary part.

To have R recognize `10`

as an `integer`

instead of a `double`

, you can append `L`

to the number. Here’s how you can do it:

`typeof(10) # Example of double type typeof(10L) # Example of integer type`

Differentiating between `10`

and `10L`

is important because of how memory is utilized — integers take up **less** space.

Task

- Assign the current year's numerical value to a variable named
`year`

, and ensure that it is of`integer`

type by appending`L`

. - Determine and display the type of the
`year`

variable:

Thanks for your feedback!

# Numbers

In the previous section, we observed that the number `10`

was identified as a `double`

even though it is an **integer**. Let's delve into this peculiarity.

R can categorize numeric values into several types, which are:

`double`

- representing real numbers;`integer`

- for whole numbers;`complex`

- for numbers with both a real and an imaginary part.

To have R recognize `10`

as an `integer`

instead of a `double`

, you can append `L`

to the number. Here’s how you can do it:

`typeof(10) # Example of double type typeof(10L) # Example of integer type`

Differentiating between `10`

and `10L`

is important because of how memory is utilized — integers take up **less** space.

Task

- Assign the current year's numerical value to a variable named
`year`

, and ensure that it is of`integer`

type by appending`L`

. - Determine and display the type of the
`year`

variable:

Thanks for your feedback!

# Numbers

In the previous section, we observed that the number `10`

was identified as a `double`

even though it is an **integer**. Let's delve into this peculiarity.

R can categorize numeric values into several types, which are:

`double`

- representing real numbers;`integer`

- for whole numbers;`complex`

- for numbers with both a real and an imaginary part.

To have R recognize `10`

as an `integer`

instead of a `double`

, you can append `L`

to the number. Here’s how you can do it:

`typeof(10) # Example of double type typeof(10L) # Example of integer type`

Differentiating between `10`

and `10L`

is important because of how memory is utilized — integers take up **less** space.

Task

- Assign the current year's numerical value to a variable named
`year`

, and ensure that it is of`integer`

type by appending`L`

. - Determine and display the type of the
`year`

variable:

Thanks for your feedback!

`10`

was identified as a `double`

even though it is an **integer**. Let's delve into this peculiarity.

R can categorize numeric values into several types, which are:

`double`

- representing real numbers;`integer`

- for whole numbers;`complex`

- for numbers with both a real and an imaginary part.

`10`

as an `integer`

instead of a `double`

, you can append `L`

to the number. Here’s how you can do it:

`typeof(10) # Example of double type typeof(10L) # Example of integer type`

`10`

and `10L`

is important because of how memory is utilized — integers take up **less** space.

Task

- Assign the current year's numerical value to a variable named
`year`

, and ensure that it is of`integer`

type by appending`L`

. - Determine and display the type of the
`year`

variable: