[This article was first published on R Archives » Data Science Tutorials, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

The post Positive or Negative in R appeared first on Data Science Tutorials

Unravel the Future: Dive Deep into the World of Data Science Today! Data Science Tutorials.

Positive or Negative in R, we will learn how to use the sign function in R to determine whether a numeric value is positive or negative.

The sign function returns the signs of numeric elements, with a value of 1 for positive numbers, 0 for zero, and -1 for negative numbers.

Basic R Syntax

`sign(5)           # Basic R syntax of sign function`

Example: Return whether Number is Positive or Negative

We can use the sign function to check whether a number is positive or negative.

For example, let’s create a vector of numbers from -2 to 5 and apply the sign function:

```sign(-2:5)        # Apply sign function
# -1 -1  0  1  1  1  1  1```

This returns the signs of the elements in the vector.

How to Display Percentages on Histogram in R » Data Science Tutorials

The first two elements are negative (indicated by -1), the third element is zero (indicated by 0), and the remaining elements are positive (indicated by +1).

Example: Checking Multiple Numbers

We can also use the sign function to check multiple numbers at once.

For example, let’s create a vector of numbers and apply the sign function:

```numbers <- c(-3, 0, 2, -5, 7)
sign(numbers)     # Apply sign function to multiple numbers
# -1  0  1 -1  1```

This returns the signs of the elements in the vector.

The first element is negative (indicated by -1), the second element is zero (indicated by 0), the third element is positive (indicated by +1), and the fourth element is negative (indicated by -1), and the fifth element is positive (indicated by +1).

The post Positive or Negative in R appeared first on Data Science Tutorials

Unlock Your Inner Data Genius: Explore, Learn, and Transform with Our Data Science Haven! Data Science Tutorials.