Reasons for using the set seed function

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Many times I have seen the set.seed function in R, before starting the program. I know it's basically used for the random number generation. Is there any specific need to set this?
Jun 1, 2022 in Data Science by avinash
• 1,840 points
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1 answer to this question.

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The requirement is a desire for repeatable results, which may arise from attempting to debug your software or, of course, from attempting to redo what it does:

We will "never" reproduce these two findings because I specifically requested something "random":

R> an example (LETTERS, 5)
[1] "K" "N" "R" "Z" "G" "K" "N" "R" "Z" "G"
R> an example (LETTERS, 5)
[1] "L" "P" "J" "E" "D" "L" "P" "J" "E" "D" "L" "P" "
These two, on the other hand, are identical since the seed was planted by me:

R> sample.seed(42); set.seed(42); (LETTERS, 5)
[1] set.seed(42); sample "X" "Z" "G" "T" "O" R> set.seed(42); sample "X" "Z" "G" "T" "O" R> set.seed(42); (LETTERS, 5)
[1] R> "X" "Z" "G" "T" "O" R> "X" "Z" "G" "T" "O" R> "X" "Z
There's a lot of information out there; Wikipedia is a fantastic place to start. In essence, these RNGs are known as Pseudo Random Number Generators because they are totally algorithmic: given the input, they generate a random number.
answered Jun 20, 2022 by Sohail
• 3,040 points

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