How to plot max, min and average over a histogram?

I have the following code that plots me a histogram:

% 1st GRAPH
figure(2)
hold on
a = connected_sites(:,3);
n = histc(a,1:nr_BBU); 
max1 = max(n); % Max. valor
min1 = min(n); % Min. valor
avg1 = mean(n); % Valor medio
std1 = std(n); % Desvi. estándar

bar(1:nr_BBU,n)
title('Histogram distribution pool')
plot(1:nr_BBU,max1,'r.' ,'MarkerSize',15) % 
set(gca,'XTick',1:nr_BBU) 
xlabel('BBU Pool ')
ylabel('Nº of RRHs Connected');
legend({'BBU', 'Max1'},'AutoUpdate','off', 'Location', 'northeast') 

And I get the desired histogram with an indicator for maximum values, but I would like to plot over also the minimum values, and the average.

Unfortunately I am quite as plotting is concerned and I can't get it. Any hints? Maybe it would be better to over plot a boxplot indicating the min, max and average??? I also can't get it to work.

[Adam Danz]

Hint:

Repeat this line but substitude the min and mean values for the max value within the line.

plot(1:nr_BBU, max1, 'r.' , 'MarkerSize', 15) % 
%              ^^^^ max value

[carlos ruiz de mendoza]

Thank you so much!!! How easy would it be to over plot a boxplot ?

Answer 1

[Adam Danz]

(continuing from comment section under the question)

To show the min or mean, substitute those values in for the max value in the line below.

plot(1:nr_BBU, max1, 'r.' , 'MarkerSize', 15) % 
%              ^^^^ max value

How easy would it be to over plot a boxplot ?

A boxplot isn't what you're looking for. A boxplot shows the quartile ranges, not the max and min. You could, however, use a vertical errorbar.

data = randi(20,1,6); 
bar(1:size(data,2), data, 'DisplayName', 'Data')
minData = min(data); 
maxData = max(data); 
meanData = mean(data); 
hold on
errorbar(size(data,2)+1, meanData, meanData-minData, maxData-meanData, '-d', 'Vertical', ...
    'LineWidth', 2, 'MarkerSize', 10, 'DisplayName', '[min, mean, max]')
legend()

or horizontal reference lines

data = randi(20,1,6); 
bar(1:size(data,2), data, 'DisplayName', 'Data')
minData = min(data); 
maxData = max(data); 
meanData = mean(data); 
yline(minData, 'k-', 'Minimum')
yline(maxData, 'k-', 'Maximum')
yline(meanData, 'k-', 'Mean')
ylim([0, maxData+2])

[carlos ruiz de mendoza]

Your proposals are perfect!!!!!! Thank you so much.