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.