Subset Data Frames Using Logical Conditions In R

Subset Data Frames Using Logical Conditions in R programming language means selecting specific rows from a data frame where certain logical conditions are true, such as values being greater than, less than or equal to a given number.

1. Subset data frame with ==

This method subsets rows where the column value is equal to a specific value.

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2. Subset Data Frame with %in%

This method subsets rows where a column's value matches any value in a vector.

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3. Subset Data Frame with !=

This method subsets rows where the column value is not equal to a specific value.

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4. Subset Using Square Brackets [ ]

This is a base R approach to subset rows using logical conditions directly within square brackets.

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5. Subset Using subset() Function

The subset() function is a cleaner and more readable way to apply conditions on data frames.

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We learned about how to perform subsetting by using logical conditions.