You can use the following functions to round numbers in R:
- round(x, digits = 0): Rounds values to specified number of decimal places.
- signif(x, digits = 6): Rounds values to specified number of significant digits.
- ceiling(x): Rounds values up to nearest integer.
- floor(x): Rounds values down to nearest integer.
- trunc(x): Truncates (cuts off) decimal places from values.
The following examples show how to use each of these functions in practice.
Example 1: round() Function in R
The following code shows how to use the round() function in R:
#define vector of data data <- c(.3, 1.03, 2.67, 5, 8.91) #round values to 1 decimal place round(data, digits = 1) [1] 0.3 1.0 2.7 5.0 8.9
Example 2: signif() Function in R
The following code shows how to use the signif() function to round values to a specific number of significant digits in R:
#define vector of data data <- c(.3, 1.03, 2.67, 5, 8.91) #round values to 3 significant digits signif(data, digits = 3) [1] 0.30 1.03 2.67 5.00 8.91
Example 3: ceiling() Function in R
The following code shows how to use the ceiling() function to round values up to the nearest integer:
#define vector of data data <- c(.3, 1.03, 2.67, 5, 8.91) #round values up to nearest integer ceiling(data) [1] 1 2 3 5 9
Example 4: floor() Function in R
The following code shows how to use the floor() function to round values down to the nearest integer:
#define vector of data data <- c(.3, 1.03, 2.67, 5, 8.91) #round values down to nearest integer floor(data) [1] 0 1 2 5 8
Example 5: trunc() Function in R
The following code shows how to use the trunc() function to truncate (cut off) decimal places from values:
#define vector of data data <- c(.3, 1.03, 2.67, 5, 8.91) #truncate decimal places from values trunc(data) [1] 0 1 2 5 8
Additional Resources
How to Transform Data in R (Log, Square Root, Cube Root)
How to Perform an Arcsine Transformation in R
How to Find the Antilog of Values in R
