How do I correctly apply fitrm?

Hi,

I have a data set with two conditions ("H" and "L") and 36 participants. Each participant was measured five times in phases called "pre", "balls", "between", "basket" and "post". This information is stored in the variable "comptable_both_conditions".

I am interested in running a RM ANOVA to see if there are within group differences between the phases.

Here is my code:

condition = ...
    ['H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' 'H' ...
    'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' 'L' ]';
% assigning each participant to a condition

t = table(condition,comptable_both_conditions(:,1),...
    comptable_both_conditions(:,2),comptable_both_conditions(:,3),...
    comptable_both_conditions(:,4),comptable_both_conditions(:,5),...
    'VariableNames',{'groups','pre','balls','btw','basket','post'});

% creating the table for the RM ANOVA

Meas = table([1 2 3 4 5]','VariableNames',{'Measurements'});

rm = fitrm(t,'pre-post ~ condition','WithinDesign',Meas);

I am unsure if this is correct. Also, when running the code I get an error which I cant seem to find online:

Undefined function 'fitrm' for input arguments of type 'table'.

Any help would be greatly appreciated!

Thanks!