Why set.seed() affects sample() in R

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I always thought set.seed() only makes random variable generators (e.g., rnorm) to generate a unique sequence for any specific set of input values.

However, I'm wondering, why when we set the set.seed(), then the function sample() doesn't do its job correctly?

Question

Specifically, given the below example, is there a way I can use set.seed before the rnorm but sample would still produce new random samples from this rnorm if sample is run multiple times?

Here is an R code:

set.seed(123458)
x.y = rnorm(1e2)

sampled = sample(x = x.y, size = 20, replace = TRUE)

plot(sampled)
sampling resampling r random
2 Answers

Instead of resetting the seed with NULL, I think it makes more sense to save the current state and restore it. 

x <- .Random.seed
set.seed(639245)
rn <- rnorm(1e2)
.Random.seed <- x
sample(rn,5)
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