How is the filter function used in the R language?

The filter function in R language is used to select observations from a dataset that meet specific conditions. It is a function in the dplyr package for data manipulation and transformation.

Here is how the filter function is used:

select data based on condition

In this case, data is the dataset to be filtered, and condition is a logical statement used to select observation values that meet the criteria.

示例：

“Take a seat” –> “Have a seat”

Assume there is a dataset df that contains students’ academic information, including their names, subjects, and scores.

To filter out students in the math subject with scores greater than 80, you can use the following code:

Extract data from the dataframe where the subject is “Math” and the score is greater than 80.

The above code will generate a new dataset called filtered_data, which only includes observations that meet the specified criteria.

The filter function can also be combined with other operations such as mutate, arrange, and select to carry out more complex data processing and transformation tasks.