ifelse function instead of for loop

I have the original R code as below.

 Bernoulli <- rbinom(1000, 1, 0.5)
 mix.sample <- rep(0, 1000)  #reserve storage
 for (i in 1:1000) { #for each Bernoulli realization
   if (Bernoulli[i] == 1){ #sample corresponding normal component
     mix.sample[i] <- rnorm(1, mean=10, sd=1)
   }
   else {
     mix.sample[i] <- rnorm(1, mean=0, sd=1)
   }
 }
 plot(density(mix.sample))

And I tried the following code instead of the for loop, but there appears a problem with the results been produced, could anyone help me out?

 Bernorm <- ifelse(Bernoulli == 1, rnorm(1, mean=10, sd=1), rnorm(1, mean=0, sd=1))