how to made a group of mixed type variables available in different routines without using global?

Hello,

How to made a group of mixed type of variables available in different routines without using global?

Say I have 10 variables (some string and some numbers [some integrers and some float]).

I need to have these variables accessible to various routines that are locatated (hierachely) at different levels.

The simple way would be to use Global, which I understand is not advisable (also tried and found out why it is indeed unadvisable)

Thank you

[Voss]

You can use a struct:

name = 'Baba';
age = 43;
location = 'Booey, NY'

location = 'Booey, NY'

S = struct('name',name,'age',age,'location',location)

S = struct with fields:
        name: 'Baba'
         age: 43
    location: 'Booey, NY'

% then pass S around instead of name, age and location

[Stephen23]

https://www.mathworks.com/help/matlab/matlab_prog/nested-functions.html

[Cris LaPierre]

You could also use a table. Each column of a table is a different variable, and each variable can be a different data type. The one restriction is that each variable must have the same number of rows.

Borrowing the example above

name = {'Baba'}; % character arrays must be in a cell
age = 43;
location = "Booey, NY"

location = "Booey, NY"

S = table(name,age,location)

S = 1×3 table
      name      age     location  
    ________    ___    ___________

    {'Baba'}    43     "Booey, NY"

See this page on how to access data in tables.

[NAFTALI HERSCOVICI]

thank you will do

[Walter Roberson]

http://matlab.wikia.com/wiki/FAQ#How_can_I_share_data_between_callback_functions_in_my_GUI.28s.29.3F

[Adam Danz]

If you're comfortable with OOP, you could save values as properties of an object so that any function that has access to the object handle can access the properties. This approach is similar to storing values in a structure but also allows for the use of findobj() to get the handle of the object even if the handle is not passed to or within scope of the function.

But I would pass the values as a table or structure or use nested functions. If the values are stored in vectors and thier indicies correspond to each other, I'd strongly recommend using a table.