Notice: This page requires JavaScript to function properly.
Please enable JavaScript in your browser settings or update your browser.
Type Conversion | Basic Data Types and Vectors
R Introduction: Part I
course content

Contenido del Curso

R Introduction: Part I

R Introduction: Part I

1. Basic Syntax and Operations
2. Basic Data Types and Vectors
3. Factors

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:

123
# Some number num <- 20 numL # Trying using L for converting
copy

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.

Give these functions a try!

Tarea

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

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 2. Capítulo 3
toggle bottom row

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:

123
# Some number num <- 20 numL # Trying using L for converting
copy

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.

Give these functions a try!

Tarea

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

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 2. Capítulo 3
toggle bottom row

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:

123
# Some number num <- 20 numL # Trying using L for converting
copy

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.

Give these functions a try!

Tarea

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

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

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:

123
# Some number num <- 20 numL # Trying using L for converting
copy

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.

Give these functions a try!

Tarea

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

Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
Sección 2. Capítulo 3
Cambia al escritorio para practicar en el mundo realContinúe desde donde se encuentra utilizando una de las siguientes opciones
some-alt