Legend Placement in Nested Tile Layout (2024)

lgd.Layout.Tile = 'south';

t=tiledlayout(T,2,1);

lgd.Parent = T;

'A legend and its associated axes must have the same parent'

nexttile(t).

%Generating Dummy data for the purpose of this solution

% Assuming cdfs_in represents some groups or conditions

cdfs_in = 1:2; % For example, we have 2 conditions

% Define titles for the tiled plots

titles = {'test 1', 'test 2'};

% 'soph' can be a linear space vector, representing a fraction of sophisticated students

soph = linspace(0.3, 0.7, 100); % 100 points between 0.3 and 0.7

% 'utils_tot' is a 3D matrix for utility values with dimensions corresponding to:

% - number of 'soph' points (100)

% - number of strategies/mechanisms (3)

% - number of conditions in 'cdfs_in' (length of cdfs_in)

utils_sinc = rand(100, 3, length(cdfs_in)) * 0.5 + 1; % Random data for sincere students

utils_tot = rand(100, 3, length(cdfs_in)) * 0.5 + 1; % Random data for all students

figure('Position', [0, 0, 1200, 600]); % Adjust the size as needed

T=tiledlayout(1, length(cdfs_in));

for i=1:length(cdfs_in)

t=tiledlayout(T,2,1);

title(t, titles(i));

t.Layout.Tile = i;

t.Layout.TileSpan = [1 1];

t.TileSpacing = 'compact';

nexttile(t);

plot(soph, utils_sinc(:,1,i))

hold on

plot(soph, utils_sinc(:,2,i))

hold on

plot(soph, utils_sinc(:,3,i))

hold off

ylabel("Mean Utility", 'FontSize', 12);

xlabel("Fraction of Students who are Sophisticated (P_{soph})", 'FontSize', 12);

title("Sincere Students", 'FontWeight', 'normal');

nexttile(t)

plot(soph, utils_tot(:,1,i))

hold on

plot(soph, utils_tot(:,2,i))

hold on

plot(soph, utils_tot(:,3,i))

hold off

title("All Students", 'FontWeight', 'normal');

xlabel("Fraction of Students who are Sophisticated (P_{soph})", 'FontSize', 12);

ylabel("Mean Utility", 'FontSize', 12);

end

% Create a dummy axes for placing the legend at the bottom

ax = axes(T, 'Visible', 'off');

% Plot dummy lines with the same properties as your actual data plots

hold(ax, 'on'); % Hold the dummy axes for multiple plots

hOptimal = plot(ax, NaN, NaN, 'DisplayName', 'Optimal Taiwan Mechanism', 'Color', 'b');

hBoston = plot(ax, NaN, NaN, 'DisplayName', 'Boston Mechanism', 'Color', 'r');

hDeferred = plot(ax, NaN, NaN, 'DisplayName', 'Deferred Acceptance', 'Color', 'y');

hold(ax, 'off'); % Release the hold

% Create the legend using the dummy lines

lgd = legend([hOptimal, hBoston, hDeferred]);

lgd.Layout.Tile = 'south';

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