The “if_else” Function in R

• Package: dplyr

• Purpose: To perform element-wise conditional operations on vectors or data frames.

• General Class: Data Manipulation

• Required Argument(s):

• condition: A logical vector indicating which elements should be updated.

• true: The value to assign to elements where condition is TRUE.

• false: The value to assign to elements where condition is FALSE.

• 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, 5),
  value = c(10, 15, 20, 25, 30)
  )
  
  # Create a new column 'category' based on a condition
  result <- data %>%
  mutate(category = if_else(value > 20, "High", "Low"))
  
  # Display the result
  print(result)

• In this example, the if_else function from the dplyr package is used to create a new column ‘category’ in the sample data frame data. The ‘category’ column is assigned the value “High” if the corresponding value in the ‘value’ column is greater than 20, otherwise it is assigned the value “Low”. The result is a new data frame result containing the original data along with the newly created ‘category’ column.