R Filter Function: dplyr Guide & Examples

In R language, the filter function is a function in the dplyr package used to filter rows of a data frame based on specified conditions. The basic syntax is:

filter(data, condition)

The data is the data frame or dataset to be filtered, and the condition is the filtering criteria.

For example, suppose there is a dataframe df with columns “ID” and “Score”, we can use the filter function to select rows that meet the condition of having a Score greater than 80.

library(dplyr)
df_filtered <- filter(df, Score > 80)

The code above will generate a new dataframe df_filtered, which only includes rows with a Score greater than 80. Using the filter function, we can easily apply conditional filtering to the dataframe, enabling us to quickly obtain the desired data.