plot coefficient of variation in matlab

To plot the coefficient of variation (CV) in MATLAB, first compute the CV statistic for your data. The CV is the ratio of the standard deviation and the mean, multiplied by 100% to express the result as a percentage.

Here's MATLAB code to compute the CV for a vector x of data:

main.m
cv = std(x) / mean(x) * 100;
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If you have multiple datasets, you can compute the CV for each dataset using cellfun to apply the function to each dataset:

main.m
data = {x1, x2, x3, ...};
cv = cellfun(@(x) std(x) / mean(x) * 100, data);
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Once you have computed the CV values, you can plot them using the plot function:

main.m
plot(cv);
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This will create a simple line plot of the CV values. You can customize the plot using various options, such as setting the line style or color, adding axis labels and a title, etc. For example:

main.m
plot(cv, '-o', 'LineWidth', 2, 'MarkerSize', 8);
xlabel('Dataset');
ylabel('Coefficient of variation (%)');
title('CV for multiple datasets');
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This code will create a plot with circular markers ('-o') on each data point, with a line connecting the markers, using a line width of 2 and marker size of 8. The x-axis label will be "Dataset", the y-axis label will be "Coefficient of variation (%)" and the title will be "CV for multiple datasets".