Random sampling with normal distribution from existing data in R

I have a large dataset of individuals who have rated some items (x1:x10). For each individual. the ratings have been combined into a total score (ranging 0-5). Now, I would like to draw two subsamples with the same sample size, in which the total score has a specific mean (1.5 and 3) and follows a normal distribution. Individuals might be part of both subsamples.

A guess to solve this, sampling with the outlined specifications from a vector (the total score) will work. Unfortunately, I have found only found different ways to draw random samples from a vector, but not a way to sample around a specific mean.