How to visualize two histograms for comparative analysis?

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Alex 2018-4-10

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评论： Milagre MANHIQUE 2022-1-28

Basically I have two datasets and I want to perform a comparative analysis by showing how many data fall under a specific range. Any idea as how to do it?

Thanks Alex

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Anupam Sharma 2019-12-12

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This is not working in following code. I am using it exactly as mentioned above but it shows the second histogram only. Can you help ?

% MATLAB R2019a
% Setup
N = [1:5 10 20 40];
LB = 0;
UB = 3;
n = 10000;
% Generate random variates
X = LB + (UB - LB)*rand(max(N),n);
Sn = cumsum(X); 
mu = 1.5;
sigma = .75;
S_1 = mu + sigma.*randn(n, 1)
hist1= histogram(Sn(1,:),'Normalization','pdf','EdgeColor', 'blue', 'FaceColor',  'blue')
hold on
hist2 = histogram(S_1(:), 'EdgeColor', 'green', 'FaceColor',  'green', 'FaceAlpha', 0.2);

Image Analyst 2019-12-12

Use subplot to put them into different axes.

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Image Analyst 2018-4-10

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The histograms will tell you that - how many counts in each range. Use histogram() for visualization, or histcounts() and bar().

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the cyclist 2018-4-11

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Here is an example of using Image Analyst's idea of using both histcounts and bar:

x = randn(2000,1);
y = 0.1 + randn(2000,1);

binRange = -3:0.5:3;

hcx = histcounts(x,[binRange Inf]);
hcy = histcounts(y,[binRange Inf]);

figure
bar(binRange,[hcx;hcy]')

Alex 2018-4-11

Thanks a lot "the cyclist".

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the cyclist 2018-4-10

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As shown in the documentation for the histogram histogram, you can plot two overlapping histograms on one figure like this

x = randn(2000,1);
y = 1 + randn(5000,1);
h1 = histogram(x);
hold on
h2 = histogram(y);

If you have the Statistics and Machine Learning Toolbox, you can also use the Kolmogorov-Smirnov test to determine whether the CDFs of the two distributions are statistically different.