Prompt Title: Recode Boolean Fields in R

Understood! You want to maintain the original data and create new variables with the recoded values. Here's an updated R program that does that:

RCopy code
# Sample data with boolean fields
data <- data.frame(
  Field1 = c("Y", "N", "Yes", "No", "Y"),
  Field2 = c("No", "Yes", "Y", "N", "Yes"),
  Field3 = c("Yes", "Y", "No", "No", "Yes")
)

# Function to recode boolean fields and create new variables
recode_boolean_fields <- function(data) {
  new_data <- data
  for (column in names(data)) {
    recoded_column_name <- paste(column, "_num", sep = "")
    data[[recoded_column_name]] <- as.integer(tolower(data[[column]]) %in% c("y", "yes"))
  }
  return(new_data)
}

# Recode boolean fields and create new variables
recoded_data <- recode_boolean_fields(data)

# Print the recoded data with new variables
print(recoded_data)
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In this updated program, we create a new dataset new_data that initially contains the same data as the original dataset. Then, for each boolean column in the original dataset, we create a new variable with "_num" appended to its name, and this new variable contains the recoded values as 1 or 0. The original data is preserved in the new_data dataset, and you also have the new variables with the recoded values.

You can replace the sample data with your own dataset, and the program will create the new variables as specified while maintaining the original data.