R Double Vectors

R Double Vector is an atomic vector whose type is “double”. A double vector can have numbers of type double or special values like NA, NaN, Inf or -Inf.

In this tutorial, we will learn how to create a double vector in R, with examples.

Allowed Values in Double Vector

The following are the list of values allowed in a double vector.

  • Numbers
  • NA (Missing Value)
  • NaN (Not a Number)
  • Inf (Positive Infinity)
  • -Inf (Negative Infinity)
ADVERTISEMENT

Create a Double Vector using c()

To create a double vector, we can use c() function. A number by default is considered double in R.

In the following example, we create a double vector with length 5. We print the type of vector, and the vector contents.

example.R

x <- c(2, 3, 5, 7, 11)
print(typeof(x))
print(x)

Output

[1] "double"
[1]  2  3  5  7 11

A double vector can contain NA, NaN, Inf and -Inf.

In the following program, we create a double vector with some of the values as NA, NaN, -Inf and Inf.

example.R

x <- c(2, NA, NaN, -Inf, Inf)
print(typeof(x))
print(x)

Output

[1] "double"
[1]    2   NA  NaN -Inf  Inf

Conclusion

In this R Tutorial, we learned what double vectors are, different values allowed in a double vector, and how to create a double vector, with the help of examples.