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Filter a Vector in R is a fundamental skill that can be applied to a wide range of data analysis tasks.

In this article, we’ll explore four different methods for filtering a vector in R, along with practical examples.

Method 1: Filter for Elements Equal to Some Value

The first method involves filtering a vector for elements that are equal to a specific value. This can be achieved using the == operator.

#filter for elements equal to 8
x[x == 8]

For example, let’s create a vector x and filter it for elements that are equal to 8:

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#create vector
x <- c(1, 2, 2, 4, 6, 8, 8, 8, 102, 150)

#filter for elements equal to 8
x[x == 8]

[1] 8 8 8

Method 2: Filter for Elements Based on One Condition

The second method involves filtering a vector based on a single condition. This can be achieved using the < or > operator.

#filter for elements less than 8
x[x < 8]

For example, let’s create a vector x and filter it for elements that are less than 8:

#create vector
x <- c(1, 2, 2, 4, 6, 8, 8, 8, 102, 115)

#filter for elements less than 8
x[x < 8]

[1] 1 2 2 4 6

Method 3: Filter for Elements Based on Multiple Conditions

The third method involves filtering a vector based on multiple conditions. This can be achieved using the | operator.

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#filter for elements less than 8 or greater than 12
x[(x < 8) | (x > 12)]

For example, let’s create a vector x and filter it for elements that are less than 8 or greater than 12:

x <- c(1, 2, 2, 4, 6, 8, 8, 8, 12, 15)

Method 3: Filter for Elements Based on Multiple Conditions

The third method involves filtering a vector based on multiple conditions. This can be achieved using the | operator.

#filter for elements less than 8 or greater than 12
x[(x < 8) | (x > 12)]

For example, let’s create a vector x and filter it for elements that are less than 8 or greater than 12:

#create vector
x <- c(1, 2, 2, 4, 6, 8, 8, 8, 12, 15)

#filter for elements less than 8 or greater than 12
x[(x < 8) | (x > 12)]

[1]   1   2   2   4   6   15

Method 4: Filter for Elements in the List

The fourth method involves filtering a vector for elements that are in a list. This can be achieved using the %in% operator.

#filter for elements equal to values in list
x[x %in% c(2, 6, 12)]

For example, let’s create a vector x and filter it for elements that are equal to values in the list c(2, 6, 12):

#create vector
x <- c(1, 2, 2, 4, 6, 8, 8, 8, 12, 15)

#filter for elements equal to values in list
x[x %in% c(2, 6, 12)]

[1]   2   2   6   12

Conclusion

These four methods provide a comprehensive overview of how to filter a vector in R.

By mastering these techniques, you’ll be able to extract specific subsets of data from your vectors and analyze them more effectively.

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