The SAS code snippet creates a new dataset named "new_class" by copying the data from an existing dataset called "class."

The data statement initializes the creation of the "new_class" dataset.

The set statement is used to read and copy the data from the "class" dataset into the "new_class" dataset. It essentially replicates the structure and content of the original dataset.

The run; statement marks the end of the data step and executes the creation of the "new_class" dataset.

This SAS code snippet demonstrates how to create a new dataset by duplicating an existing dataset. It can be useful when you want to work with a separate copy of the data without modifying the original dataset.

library(tidyverse)

class<-tribble(
  ~Name,~Sex,~Age,~Height,~Weight,
  "Alfred","M",14,69,112.5,
  "Alice","F",13,56.5,84,
  "Barbara","F",13,65.3,98,
)


new_class<-class

This code snippet demonstrates how to create a new data frame by duplicating an existing one in R. It allows you to work with a separate copy of the data frame while keeping the original intact.

The R Tidyverse code snippet assigns the data frame "class" to a new data frame named "new_class" using the assignment operator (<- or =).

The existing data frame "class" is duplicated, and the resulting duplicate is stored in the new data frame "new_class".

This operation creates a separate copy of the data frame, so any changes made to "new_class" will not affect the original "class" data frame.

By duplicating the data frame, you can perform different operations on the duplicated version while preserving the original dataset for future use or comparison.