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spider_plot.m
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function spider_plot(P, varargin)
%spider_plot Create a spider or radar plot with individual axes.
%
% Syntax:
% spider_plot(P)
% spider_plot(P, Name, Value, ...)
%
% Input Arguments:
% (Required)
% P - The data points used to plot the spider chart. The
% rows are the groups of data and the columns are the
% data points. The axes labels and axes limits are
% automatically generated if not specified.
% [vector | matrix]
%
% Name-Value Pair Arguments:
% (Optional)
% AxesLabels - Used to specify the label each of the axes.
% [auto-generated (default) | cell of strings | 'none']
%
% AxesInterval - Used to change the number of intervals displayed
% between the webs.
% [3 (default) | integer]
%
% AxesPrecision - Used to change the precision level on the value
% displayed on the axes.
% [1 (default) | integer]
%
% AxesDisplay - Used to change the number of axes in which the
% axes text are displayed. 'None' or 'one' can be used
% to simplify the plot appearance for normalized data.
% ['all' (default) | 'none' | 'one']
%
% AxesLimits - Used to manually set the axes limits. A matrix of
% 2 x size(P, 2). The top row is the minimum axes
% limits and the bottow row is the maximum axes limits.
% [auto-scaled (default) | matrix]
%
% FillOption - Used to toggle color fill option.
% ['off' (default) | 'on']
%
% FillTransparency - Used to set color fill transparency.
% [0.1 (default) | scalar in range (0, 1)]
%
% Color - Used to specify the line color, specified as an RGB
% triplet. The intensities must be in the range (0, 1).
% [MATLAB colors (default) | RGB triplet | hexadecimal color code]
%
% LineStyle - Used to change the line style of the plots.
% ['-' (default) | '--' | ':' | '-.' | 'none' | cell array of character vectors]
%
% LineWidth - Used to change the line width, where 1 point is
% 1/72 of an inch.
% [0.5 (default) | positive value | vector]
%
% Marker - Used to change the marker symbol of the plots.
% ['o' (default) | 'none' | '*' | 's' | 'd' | ... | cell array of character vectors]
%
% MarkerSize - Used to change the marker size, where 1 point is
% 1/72 of an inch.
% [8 (default) | positive value | vector]
%
% AxesFontSize - Used to change the font size of the values
% displayed on the axes.
% [10 (default) | scalar value greater than zero]
%
% LabelFontSize - Used to change the font size of the labels.
% [10 (default) | scalar value greater than zero]
%
% Direction - Used to change the direction of rotation of the
% plotted data and axis labels.
% [clockwise (default) | counterclockwise]
%
% AxesLabelsOffset - Used to adjust the position offset of the axes
% labels.
% [0.1 (default) | positive value]
%
% AxesScaling - Used to change the scaling of the axes.
% ['linear' (default) | 'log' | cell array of character vectors]
%
% AxesColor - Used to change the color of the spider axes.
% [grey (default) | RGB triplet]
%
% AxesLabelsEdge - Used to change the edge color of the axes labels.
% [black (default) | RGB triplet | hexadecimal color code | 'none']
%
% Examples:
% % Example 1: Minimal number of arguments. All non-specified, optional
% arguments are set to their default values. Axes labels
% and limits are automatically generated and set.
%
% D1 = [5 3 9 1 2];
% D2 = [5 8 7 2 9];
% D3 = [8 2 1 4 6];
% P = [D1; D2; D3];
% spider_plot(P);
% legend('D1', 'D2', 'D3', 'Location', 'southoutside');
%
% % Example 2: Manually setting the axes limits. All non-specified,
% optional arguments are set to their default values.
%
% D1 = [5 3 9 1 2];
% D2 = [5 8 7 2 9];
% D3 = [8 2 1 4 6];
% P = [D1; D2; D3];
% spider_plot(P,...
% 'AxesLimits', [1, 2, 1, 1, 1; 10, 8, 9, 5, 10]); % [min axes limits; max axes limits]
%
% % Example 3: Set fill option on. The fill transparency can be adjusted.
%
% D1 = [5 3 9 1 2];
% D2 = [5 8 7 2 9];
% D3 = [8 2 1 4 6];
% P = [D1; D2; D3];
% spider_plot(P,...
% 'AxesLabels', {'S1', 'S2', 'S3', 'S4', 'S5'},...
% 'AxesInterval', 2,...
% 'FillOption', 'on',...
% 'FillTransparency', 0.1);
%
% % Example 4: Maximum number of arguments.
%
% D1 = [5 3 9 1 2];
% D2 = [5 8 7 2 9];
% D3 = [8 2 1 4 6];
% P = [D1; D2; D3];
% spider_plot(P,...
% 'AxesLabels', {'S1', 'S2', 'S3', 'S4', 'S5'},...
% 'AxesInterval', 4,...
% 'AxesPrecision', 0,...
% 'AxesDisplay', 'one',...
% 'AxesLimits', [1, 2, 1, 1, 1; 10, 8, 9, 5, 10],...
% 'FillOption', 'on',...
% 'FillTransparency', 0.2,...
% 'Color', [1, 0, 0; 0, 1, 0; 0, 0, 1],...
% 'LineStyle', {'--', '-', '--'},...
% 'LineWidth', [1, 2, 3],...
% 'Marker', {'o', 'd', 's'},...
% 'MarkerSize', [8, 10, 12],...
% 'AxesFontSize', 12,...
% 'LabelFontSize', 10,...
% 'Direction', 'clockwise',...
% 'AxesLabelsOffset', 0.1,...
% 'AxesScaling', 'linear',...
% 'AxesColor', [0.6, 0.6, 0.6],...
% 'AxesLabelsEdge', 'none');
%
% % Example 5: Excel-like radar charts.
%
% D1 = [5 0 3 4 4];
% D2 = [2 1 5 5 4];
% P = [D1; D2];
% spider_plot(P,...
% 'AxesInterval', 5,...
% 'AxesPrecision', 0,...
% 'AxesDisplay', 'one',...
% 'AxesLimits', [0, 0, 0, 0, 0; 5, 5, 5, 5, 5],...
% 'FillOption', 'on',...
% 'FillTransparency', 0.1,...
% 'Color', [139, 0, 0; 240, 128, 128]/255,...
% 'LineWidth', 4,...
% 'Marker', 'none',...
% 'AxesFontSize', 14,...
% 'LabelFontSize', 10,...
% 'AxesColor', [0.8, 0.8, 0.8],...
% 'AxesLabelsEdge', 'none');
% title('Excel-like Radar Chart',...
% 'FontSize', 14);
% legend_str = {'D1', 'D2'};
% legend(legend_str, 'Location', 'southoutside');
%
% % Example 6: Logarithimic scale on specified axes. Axes limits and axes
% intervals can be individually set as well.
%
% D1 = [5 3 9 1 1];
% D2 = [5 8 7 2 10];
% D3 = [8 2 1 4 100];
% P = [D1; D2; D3];
% spider_plot(P,...
% 'AxesInterval', 2,...
% 'AxesPrecision', 0,...
% 'AxesFontSize', 10,...
% 'AxesLabels', {'Linear Scale', 'Linear Scale', 'Linear Scale', 'Linear Scale', 'Logarithimic Scale'},...
% 'AxesScaling', {'linear', 'linear', 'linear', 'linear', 'log'},...
% 'AxesLimits', [1, 1, 1, 1, 1; 10, 10, 10, 10, 100]);
% legend('D1', 'D2', 'D3', 'Location', 'northeast');
%
% % Example 7: Spider plot with subplot feature.
%
% D1 = [5 3 9 1 2];
% D2 = [5 8 7 2 9];
% D3 = [8 2 1 4 6];
% P = [D1; D2; D3];
% subplot(1, 2, 1)
% spider_plot(P,...
% 'AxesInterval', 1,...
% 'AxesPrecision', 0);
% subplot(1, 2, 2)
% spider_plot(P,...
% 'AxesInterval', 1,...
% 'AxesPrecision', 0);
%
% Author:
% Moses Yoo, (jyoo at hatci dot com)
% 2020-07-05: Added feature to change spider axes and axes labels edge color.
% 2020-06-17: Allow logarithmic scale to be set to one or more axis.
% 2020-03-26: Added feature to allow different line styles, line width,
% marker type, and marker sizes for the data groups.
% 2020-02-12: Fixed condition and added error checking for when only one
% data group is plotted.
% 2020-01-27: Corrected bug where only 7 entries were allowed in legend.
% 2020-01-06: Added support for subplot feature.
% 2019-11-27: Add option to change axes to logarithmic scale.
% 2019-11-15: Add feature to customize the plot rotational direction and
% the offset position of the axis labels.
% 2019-10-23: Minor revision to set starting axes as the vertical line.
% Add customization option for font sizes and axes display.
% 2019-10-16: Minor revision to add name-value pairs for customizing
% color, marker, and line settings.
% 2019-10-08: Another major revision to convert to name-value pairs and
% add color fill option.
% 2019-09-17: Major revision to improve speed, clarity, and functionality
%
% Special Thanks:
% Special thanks to Gabriela Andrade, Andrés Garcia, Alex Grenyer,
% Tobias Kern, Zafar Ali, Christophe Hurlin, Roman, Mariusz Sepczuk, &
% Mohamed Abubakr for their feature recommendations and suggested bug fixes.
%%% Data Properties %%%
% Point properties
[num_data_groups, num_data_points] = size(P);
% Number of optional arguments
numvarargs = length(varargin);
% Check for even number of name-value pair argments
if mod(numvarargs, 2) == 1
error('Error: Please check name-value pair arguments');
end
% Create default labels
axes_labels = cell(1, num_data_points);
% Iterate through number of data points
for ii = 1:num_data_points
% Default axes labels
axes_labels{ii} = sprintf('Label %i', ii);
end
% Default arguments
axes_interval = 3;
axes_precision = 1;
axes_display = 'all';
axes_limits = [];
fill_option = 'off';
fill_transparency = 0.2;
colors = lines(num_data_groups);
line_style = '-';
line_width = 2;
marker_type = 'o';
marker_size = 8;
axes_font_size = 10;
label_font_size = 10;
direction = 'clockwise';
axes_labels_offset = 0.1;
axes_scaling = 'linear';
axes_color = [0.6, 0.6, 0.6];
axes_labels_edge = 'k';
% Check if optional arguments were specified
if numvarargs > 1
% Initialze name-value arguments
name_arguments = varargin(1:2:end);
value_arguments = varargin(2:2:end);
% Iterate through name-value arguments
for ii = 1:length(name_arguments)
% Set value arguments depending on name
switch lower(name_arguments{ii})
case 'axeslabels'
axes_labels = value_arguments{ii};
case 'axesinterval'
axes_interval = value_arguments{ii};
case 'axesprecision'
axes_precision = value_arguments{ii};
case 'axesdisplay'
axes_display = value_arguments{ii};
case 'axeslimits'
axes_limits = value_arguments{ii};
case 'filloption'
fill_option = value_arguments{ii};
case 'filltransparency'
fill_transparency = value_arguments{ii};
case 'color'
colors = value_arguments{ii};
case 'linestyle'
line_style = value_arguments{ii};
case 'linewidth'
line_width = value_arguments{ii};
case 'marker'
marker_type = value_arguments{ii};
case 'markersize'
marker_size = value_arguments{ii};
case 'axesfontsize'
axes_font_size = value_arguments{ii};
case 'labelfontsize'
label_font_size = value_arguments{ii};
case 'direction'
direction = value_arguments{ii};
case 'axeslabelsoffset'
axes_labels_offset = value_arguments{ii};
case 'axesscaling'
axes_scaling = value_arguments{ii};
case 'axescolor'
axes_color = value_arguments{ii};
case 'axeslabelsedge'
axes_labels_edge = value_arguments{ii};
otherwise
error('Error: Please enter in a valid name-value pair.');
end
end
end
%%% Error Check %%%
% Check if axes labels is a cell
if iscell(axes_labels)
% Check if the axes labels are the same number as the number of points
if length(axes_labels) ~= num_data_points
error('Error: Please make sure the number of labels is the same as the number of points.');
end
else
% Check if valid string entry
if ~contains(axes_labels, 'none')
error('Error: Please enter in valid labels or "none" to remove labels.');
end
end
% Check if axes limits is not empty
if ~isempty(axes_limits)
% Check if the axes limits same length as the number of points
if size(axes_limits, 1) ~= 2 || size(axes_limits, 2) ~= num_data_points
error('Error: Please make sure the min and max axes limits match the number of data points.');
end
% Lower and upper limits
lower_limits = axes_limits(1, :);
upper_limits = axes_limits(2, :);
% Difference in upper and lower limits
diff_limits = upper_limits - lower_limits;
% Check to make sure upper limit is greater than lower limit
if any(diff_limits < 0)
error('Error: Please make sure max axes limits are greater than the min axes limits.');
end
% Check the range of axes limits
if any(diff_limits == 0)
error('Error: Please make sure the min and max axes limits are different.');
end
end
% Check if axes properties are an integer
if floor(axes_interval) ~= axes_interval || floor(axes_precision) ~= axes_precision
error('Error: Please enter in an integer for the axes properties.');
end
% Check if axes properties are positive
if axes_interval < 1 || axes_precision < 0
error('Error: Please enter a positive for the axes properties.');
end
% Check if axes display is valid string entry
if ~ismember(axes_display, {'all', 'none', 'one'})
error('Error: Invalid axes display entry. Please enter in "all", "none", or "one" to set axes text.');
end
% Check if not a valid fill option arguement
if ~ismember(fill_option, {'off', 'on'})
error('Error: Please enter either "off" or "on" for fill option.');
end
% Check if fill transparency is valid
if fill_transparency < 0 || fill_transparency > 1
error('Error: Please enter a transparency value between [0, 1].');
end
% Check if font size is greater than zero
if axes_font_size <= 0 || label_font_size <= 0
error('Error: Please enter a font size greater than zero.');
end
% Check if direction is valid string entry
if ~ismember(direction, {'counterclockwise', 'clockwise'})
error('Error: Invalid direction entry. Please enter in "counterclockwise" or "clockwise" to set direction of rotation.');
end
% Check if axes labels offset is positive
if axes_labels_offset < 0
error('Error: Please enter a positive for the axes labels offset.');
end
% Check if axes scaling is valid
if any(~ismember(axes_scaling, {'linear', 'log'}))
error('Error: Invalid axes scaling entry. Please enter in "linear" or "log" to set axes scaling.');
end
% Check if axes scaling is a cell
if iscell(axes_scaling)
% Check is length is one
if length(axes_scaling) == 1
% Repeat array to number of data groups
axes_scaling = repmat(axes_scaling, num_data_points, 1);
elseif length(axes_scaling) ~= num_data_points
error('Error: Please specify the same number of axes scaling as number of data points.');
end
else
% Repeat array to number of data groups
axes_scaling = repmat({axes_scaling}, num_data_points, 1);
end
% Check if axes scaling is valid
if any(~ismember(axes_scaling, {'linear', 'log'}))
error('Error: Invalid axes scaling entry. Please enter in "linear" or "log" to set axes scaling.');
end
% Check axis limits if num_data_groups is one
if num_data_groups == 1 && isempty(axes_limits)
error('Error: For one data group, please enter in a range for the axes limits.');
end
% Check if line style is a char
if ischar(line_style)
% Convert to cell array of char
line_style = cellstr(line_style);
% Repeat cell to number of data groups
line_style = repmat(line_style, num_data_groups, 1);
elseif iscellstr(line_style)
% Check is length is one
if length(line_style) == 1
% Repeat cell to number of data groups
line_style = repmat(line_style, num_data_groups, 1);
elseif length(line_style) ~= num_data_groups
error('Error: Please specify the same number of line styles as number of data groups.');
end
else
error('Error: Please make sure the line style is a char or a cell array of char.');
end
% Check if line width is numeric
if isnumeric(line_width)
% Check is length is one
if length(line_width) == 1
% Repeat array to number of data groups
line_width = repmat(line_width, num_data_groups, 1);
elseif length(line_width) ~= num_data_groups
error('Error: Please specify the same number of line width as number of data groups.');
end
else
error('Error: Please make sure the line width is a numeric value.');
end
% Check if marker type is a char
if ischar(marker_type)
% Convert to cell array of char
marker_type = cellstr(marker_type);
% Repeat cell to number of data groups
marker_type = repmat(marker_type, num_data_groups, 1);
elseif iscellstr(marker_type)
% Check is length is one
if length(marker_type) == 1
% Repeat cell to number of data groups
marker_type = repmat(marker_type, num_data_groups, 1);
elseif length(marker_type) ~= num_data_groups
error('Error: Please specify the same number of line styles as number of data groups.');
end
else
error('Error: Please make sure the line style is a char or a cell array of char.');
end
% Check if line width is numeric
if isnumeric(marker_size)
if length(marker_size) == 1
% Repeat array to number of data groups
marker_size = repmat(marker_size, num_data_groups, 1);
elseif length(marker_size) ~= num_data_groups
error('Error: Please specify the same number of line width as number of data groups.');
end
else
error('Error: Please make sure the line width is numeric.');
end
%%% Axes Scaling Properties %%%
% Check axes scaling option
log_index = strcmp(axes_scaling, 'log');
% If any log scaling is specified
if any(log_index)
% Initialize copy
P_log = P(:, log_index);
% Logarithm of base 10, account for numbers less than 1
P_log = sign(P_log) .* log10(abs(P_log));
% Minimum and maximun log limits
min_limit = min(min(fix(P_log)));
max_limit = max(max(ceil(P_log)));
recommended_axes_interval = max_limit - min_limit;
% Warning message
warning('For the log scale values, recommended axes limit is [%i, %i] and axes interval is %i.',...
10^min_limit, 10^max_limit, recommended_axes_interval);
% Replace original
P(:, log_index) = P_log;
end
%%% Figure Properties %%%
% Grab current figure
fig = gcf;
% Set figure background
fig.Color = 'white';
% Reset axes
cla reset;
% Current axes handle
ax = gca;
% Axis limits
hold on;
axis square;
axis([-1, 1, -1, 1] * 1.3);
% Axis properties
ax.XTickLabel = [];
ax.YTickLabel = [];
ax.XColor = 'none';
ax.YColor = 'none';
% Polar increments
theta_increment = 2*pi/num_data_points;
rho_increment = 1/(axes_interval+1);
%%% Scale Data %%%
% Pre-allocation
P_scaled = zeros(size(P));
axes_range = zeros(3, num_data_points);
% Iterate through number of data points
for ii = 1:num_data_points
% Group of points
group_points = P(:, ii);
% Check for log axes scaling option
if log_index(ii)
% Minimum and maximun log limits
min_value = min(fix(group_points));
max_value = max(ceil(group_points));
else
% Automatically the range of each group
min_value = min(group_points);
max_value = max(group_points);
end
% Range of min and max values
range = max_value - min_value;
% Check if axes_limits is empty
if isempty(axes_limits)
% Scale points to range from [rho_increment, 1]
P_scaled(:, ii) = ((group_points - min_value) / range) * (1 - rho_increment) + rho_increment;
else
% Check for log axes scaling option
if log_index(ii)
% Logarithm of base 10, account for numbers less than 1
axes_limits(:, ii) = sign(axes_limits(:, ii)) .* log10(abs(axes_limits(:, ii))); %#ok<AGROW>
% Manually set the range of each group
min_value = axes_limits(1, ii);
max_value = axes_limits(2, ii);
range = max_value - min_value;
else
% Manually set the range of each group
min_value = axes_limits(1, ii);
max_value = axes_limits(2, ii);
range = max_value - min_value;
end
% Check if the axes limits are within range of points
if min_value > min(group_points) || max_value < max(group_points)
error('Error: Please make the manually specified axes limits are within range of the data points.');
end
% Scale points to range from [rho_increment, 1]
P_scaled(:, ii) = ((group_points - min_value) / range) * (1 - rho_increment) + rho_increment;
end
% Store to array
axes_range(:, ii) = [min_value; max_value; range];
end
%%% Polar Axes %%%
% Polar coordinates
rho = 0:rho_increment:1;
% Check rotational direction
switch direction
case 'counterclockwise'
% Shift by pi/2 to set starting axis the vertical line
theta = (0:theta_increment:2*pi) + (pi/2);
case 'clockwise'
% Shift by pi/2 to set starting axis the vertical line
theta = (0:-theta_increment:-2*pi) + (pi/2);
end
% Remainder after using a modulus of 2*pi
theta = mod(theta, 2*pi);
% Iterate through each theta
for ii = 1:length(theta)-1
% Convert polar to cartesian coordinates
[x_axes, y_axes] = pol2cart(theta(ii), rho);
% Plot webs
h = plot(x_axes, y_axes,...
'LineWidth', 1.5,...
'Color', axes_color);
% Turn off legend annotation
h.Annotation.LegendInformation.IconDisplayStyle = 'off';
end
% Iterate through each rho
for ii = 2:length(rho)
% Convert polar to cartesian coordinates
[x_axes, y_axes] = pol2cart(theta, rho(ii));
% Plot axes
h = plot(x_axes, y_axes,...
'Color', axes_color);
% Turn off legend annotation
h.Annotation.LegendInformation.IconDisplayStyle = 'off';
end
% Set end index depending on axes display argument
switch axes_display
case 'all'
theta_end_index = length(theta)-1;
case 'one'
theta_end_index = 1;
case 'none'
theta_end_index = 0;
end
% Iterate through each theta
for ii = 1:theta_end_index
% Convert polar to cartesian coordinates
[x_axes, y_axes] = pol2cart(theta(ii), rho);
% Iterate through points on isocurve
for jj = 2:length(rho)
% Axes increment value
min_value = axes_range(1, ii);
range = axes_range(3, ii);
axes_value = min_value + (range/axes_interval) * (jj-2);
% Check for log axes scaling option
if log_index(ii)
% Exponent to the tenth power
axes_value = 10^axes_value;
end
% Display axes text
text_str = sprintf(sprintf('%%.%if', axes_precision), axes_value);
text(x_axes(jj), y_axes(jj), text_str,...
'Units', 'Data',...
'Color', 'k',...
'FontSize', axes_font_size,...
'HorizontalAlignment', 'center',...
'VerticalAlignment', 'middle');
end
end
%%% Plot %%%
% Iterate through number of data groups
for ii = 1:num_data_groups
% Convert polar to cartesian coordinates
[x_points, y_points] = pol2cart(theta(1:end-1), P_scaled(ii, :));
% Make points circular
x_circular = [x_points, x_points(1)];
y_circular = [y_points, y_points(1)];
% Plot data points
plot(x_circular, y_circular,...
'LineStyle', line_style{ii},...
'Marker', marker_type{ii},...
'Color', colors(ii, :),...
'LineWidth', line_width(ii),...
'MarkerSize', marker_size(ii),...
'MarkerFaceColor', colors(ii, :));
% Check if fill option is toggled on
if strcmp(fill_option, 'on')
% Fill area within polygon
h = patch(x_circular, y_circular, colors(ii, :),...
'EdgeColor', 'none',...
'FaceAlpha', fill_transparency);
% Turn off legend annotation
h.Annotation.LegendInformation.IconDisplayStyle = 'off';
end
end
% Find object handles
text_handles = findobj(ax.Children,...
'Type', 'Text');
patch_handles = findobj(ax.Children,...
'Type', 'Patch');
isocurve_handles = findobj(ax.Children,...
'Color', axes_color,...
'-and', 'Type', 'Line');
plot_handles = findobj(ax.Children, '-not',...
'Color', axes_color,...
'-and', 'Type', 'Line');
% Manually set the stack order
uistack(text_handles, 'bottom');
uistack(plot_handles, 'bottom');
uistack(patch_handles, 'bottom');
uistack(isocurve_handles, 'bottom');
%%% Labels %%%
% Check labels argument
if ~strcmp(axes_labels, 'none')
% Convert polar to cartesian coordinates
[x_axes, y_axes] = pol2cart(theta, rho(end));
% Iterate through number of data points
for ii = 1:length(axes_labels)
% Angle of point in radians
theta_point = theta(ii);
% Find out which quadrant the point is in
if theta_point == 0
quadrant = 0;
elseif theta_point == pi/2
quadrant = 1.5;
elseif theta_point == pi
quadrant = 2.5;
elseif theta_point == 3*pi/2
quadrant = 3.5;
elseif theta_point == 2*pi
quadrant = 0;
elseif theta_point > 0 && theta_point < pi/2
quadrant = 1;
elseif theta_point > pi/2 && theta_point < pi
quadrant = 2;
elseif theta_point > pi && theta_point < 3*pi/2
quadrant = 3;
elseif theta_point > 3*pi/2 && theta_point < 2*pi
quadrant = 4;
end
% Adjust label alignment depending on quadrant
switch quadrant
case 0
horz_align = 'left';
vert_align = 'middle';
x_pos = axes_labels_offset;
y_pos = 0;
case 1
horz_align = 'left';
vert_align = 'bottom';
x_pos = axes_labels_offset;
y_pos = axes_labels_offset;
case 1.5
horz_align = 'center';
vert_align = 'bottom';
x_pos = 0;
y_pos = axes_labels_offset;
case 2
horz_align = 'right';
vert_align = 'bottom';
x_pos = -axes_labels_offset;
y_pos = axes_labels_offset;
case 2.5
horz_align = 'right';
vert_align = 'middle';
x_pos = -axes_labels_offset;
y_pos = 0;
case 3
horz_align = 'right';
vert_align = 'top';
x_pos = -axes_labels_offset;
y_pos = -axes_labels_offset;
case 3.5
horz_align = 'center';
vert_align = 'top';
x_pos = 0;
y_pos = -axes_labels_offset;
case 4
horz_align = 'left';
vert_align = 'top';
x_pos = axes_labels_offset;
y_pos = -axes_labels_offset;
end
% Display text label
text(x_axes(ii)+x_pos, y_axes(ii)+y_pos, axes_labels{ii},...
'Units', 'Data',...
'HorizontalAlignment', horz_align,...
'VerticalAlignment', vert_align,...
'EdgeColor', axes_labels_edge,...
'BackgroundColor', 'w',...
'FontSize', label_font_size);
end
end