The “filter” Function in R

• Package: dplyr

• Purpose: Filters rows of data frames based on specified conditions.

• General Class: Data Manipulation

• Required Argument(s):

• .data: A data frame or tibble.

• ...: Conditions specifying the rows to keep.

• Notable Optional Arguments:

• None specific to filter, but other functions from dplyr can be used in combination, e.g., select, mutate, etc.

• Example:

• # Example data for filtering a data frame using dplyr
  library(dplyr)
  
  df <- data.frame(
  ID = 1:5,
  Name = c("Alice", "Bob", "Charlie", "David", "Emma"),
  Age = c(25, 30, 22, 28, 35)
  )
  
  # Filter data frame to include only individuals with age greater than 25
  filtered_df <- filter(df, Age > 25)
  
  # Display the filtered data frame
  print(filtered_df)

• In this example, the filter function from the dplyr package is used to extract a subset of a data frame (df) where the condition is that the “Age” column is greater than 25. The result is a filtered data frame (filtered_df) containing only the rows that meet the specified condition. Note that you need to have the dplyr package installed and loaded to use the filter function.