Hi Radha,
To change the color of the maximum outlier in a boxplot, you may follow these steps:
- Use MATLAB's "boxplot" function to visualize your data. This will automatically identify and display any outliers in the dataset.
- Retrieve the graphical objects representing outliers using the "findobj" function with the tag 'Outliers'. This will allow you to access their properties.
- Obtain the y-coordinates 'YData' of the outliers. If the data is returned as a cell array, convert it to a numeric array for easier manipulation.
- Use the “max” function to identify the outlier with the highest value. This step will provide both the value and index of this maximum outlier.
- Overlay a new marker on the maximum outlier using the “plot” function. Customize this marker to distinguish it from others, such as changing its color and size.
Refer to the code provided below for a detailed implementation:
% Sample data
data = randn(100, 1);
data(end+1) = 5; % Add an outlier
% Create the boxplot
h = boxplot(data);
% Get the outliers
outliers = findobj(h, 'Tag', 'Outliers');
% Extract the YData of the outliers
outlierYData = get(outliers, 'YData');
% If there are multiple outliers, outlierYData will be a cell array
if iscell(outlierYData)
outlierYData = cell2mat(outlierYData);
end
% Find the maximum outlier
[maxOutlierValue, maxOutlierIndex] = max(outlierYData);
% Extract the XData corresponding to the maximum outlier
outlierXData = get(outliers, 'XData');
if iscell(outlierXData)
outlierXData = cell2mat(outlierXData);
end
% Set new marker properties for the maximum outlier
hold on;
% Overlay the maximum outlier with a different color
plot(outlierXData(maxOutlierIndex), maxOutlierValue, 'ko', 'MarkerSize', 8, 'LineWidth', 2);
hold off;
You can refer to the documentation links below for more information:
