The “summarize_all” Function in R

• Package: dplyr

• Purpose: To apply a summarization function to all columns in a data frame.

• General Class: Data Manipulation

• Required Argument(s):

• data: The data frame to summarize.

• list(): A list of summary functions to apply to each column.

• 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),
  value1 = c(10, 15, 20),
  value2 = c(25, 30, 35)
  )
  
  # Summarize all numeric columns by calculating mean and sum
  summary_result <- data %>%
  summarize_all(list(mean = mean, sum = sum))
  
  # Display the summary result
  print(summary_result)

• In this example, the summarize_all function from the dplyr package is used to apply two summarization functions (mean and sum) to all numeric columns in the sample data frame data. The result, summary_result, provides the mean and sum for each numeric column.