R: Create dataset with specific correlation in r

How can i create a dataset with two columns having a specific correlation to each other? I want to be able to define the number of values which will be created and specify the correlation the output should have.

The question is similar to this one: Generate numbers with specific correlation

One of the answers was to use:

out <- mvrnorm(10, mu = c(0,0), Sigma = matrix(c(1,0.56,0.56,1),, ncol = 2), 
                mpirical = TRUE)

Producing an output like this:

            [,1]         [,2]
 [1,] -0.4152618  0.033311146
 [2,]  0.7617759 -0.181852441
 [3,] -1.6393045 -1.054752469
 [4,] -1.7872420 -0.605214425
 [5,]  0.9581152  2.511000955
 [6,]  0.5048160 -0.278329145
 [7,]  0.8656220  0.483521747
 [8,] -0.1385699  0.017395548
 [9,]  0.3261103 -0.932889606
[10,]  0.5639388  0.007808691

with the following correlation table cor(out):

     [,1] [,2]
[1,] 1.00 0.56
[2,] 0.56 1.00

But i want the data set to contain higher, no negative and more far away numbers for example:

       x   y
   1   5   5
   2  20  20
   3  30  30
   4 100 100

having a correlation of 1:

    x y
  x 1 1
  y 1 1

With more far away i mean "more" random and bigger in their value like in my sample above.

Is there are (easy) way to archive something like that?