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Explaining the Difference between apply() function and for Loop in R Programming

In R programming, the apply() function and for loop are two methods used for iteration. The main difference between them is:

• apply() function: The apply() function is used to apply a given function to the rows or columns of a matrix, array, or data frame. It is more efficient and concise compared to writing a for loop.
• for loop: The for loop in R is a traditional iterative approach where you manually iterate over a sequence of elements. It is more flexible but often less efficient compared to using apply().

Overall, the choice between apply() function and for loop in R programming depends on the specific task at hand, the data structure being worked with, and the desired level of efficiency.

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