To perform a one-way ANOVA on all the data contained within the cells of a cell array and obtain a single output that compares all of them, you first need to combine the data from all the cells into a single vector. Subsequently, you can apply the “anova1” function. For more information, please refer to the documentation using the following command in the MATLAB command line:
web(fullfile(docroot, "/stats/anova1.html"))
To execute the one-way ANOVA, following code can be used:
% Initialize variables to store combined data and group labels
combinedData = [];
groupLabels = [];
% Loop through each cell in master_maxt{1,1}
for i = 1:length(master_maxt{1,1})
% Extract data from each cell
data = master_maxt{1,1}{i};
% Append the data to the combinedData array
combinedData = [combinedData; data(:)];
% Create a group label array for this cell and append it to groupLabels
groupLabels = [groupLabels; i * ones(length(data), 1)];
end
% Perform one-way ANOVA
p = anova1(combinedData, groupLabels);
In this approach, the data from all cells is collected, and each data point is assigned a group label corresponding to its original cell. This process allows for a single output that compares all the cells as intended.
