vector randomisation via latin hypercube sampling (lhs)

Hello, everyone!
This is my first post here. I'm also very new to R and data science in general so thanks in advance for the attention and inputs.

I'd like to randomize a certain variable for a project I'm currently working on.

As the initial inputs, let's suppose we have a vector where all values are x=100 for n=1 to n=365 (year).

What I intend to do is to randomize this distribution via lhs (latin hypercube sampling) with varying coefficients of variation:

Simulation #1: coefficient of variation cv = 0,1 (10%)
This should result in a series of lhs-distributed values varying from x=90 to x=110 for n=1 to n=365

Simulation #2: coefficient of variation cv = 0,2 (20%)
This should result in a series of lhs-distributed values varying from x=80 to x=120 for n=1 to n=365

and so on.
It is also important to state that the values of x, n and cv should be changeable.

The figure above illustrates the concept I am intending to reproduce:

Hope this is enough information to make my question clear.
Please reply if more info is needed.

Thanks in advance.
Kind regards from Brazil.

Hello Everyone,

I'm upvoting this trhread in so it can get some more visibility.
I'll be happy to assist anyone willing to help, specially those experienced with the package "lhs"

Thanks a lot

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