The “filter_all” Function in R

• Package: dplyr

• Purpose: To filter rows in a data frame based on conditions applied to all columns.

• General Class: Data Manipulation

• Required Argument(s):

• data: The data frame to filter.

• all_vars(): A predicate function specifying the filtering conditions for all columns.

• Notable Optional Arguments:

• None.

• Example (with Explanation):

• # Load necessary packages
  library(dplyr)
  
  # Create a sample data frame
  data <- data.frame(
  ID = c(1, 2, 3, 4),
  value1 = c(10, 15, 20, 25),
  value2 = c(25, 30, 35, 10)
  )
  
  # Filter rows where both value1 and value2 are greater than 12
  filtered_data <- data %>%
  filter_all(all_vars(value1 > 12 & value2 > 12))
  
  # Display the filtered data
  print(filtered_data)

• In this example, the filter_all function from the dplyr package is used to filter rows in the sample data frame data where both value1 and value2 are greater than 12. The all_vars() predicate function is applied to specify that the conditions should be satisfied for all columns. The result, filtered_data, contains only the rows meeting the specified conditions in all columns.