How to plot a grouped bar chart with errors bar as shown in the figure?

Question

I am trying to plot a grouped bar chart like the one in the figure below. I found the errorbar() function, but so far I cannot figure it out how to make it.

Here is my code.

Y = [0.9322225 0.86225 0.8973;
     0.8953635 0.862868 0.8099605;
     0.7473585 0.675698 0.80484];

bar(Y, 'grouped')
bar(Y, 'BarWidth', 0.5);
set(gca,'XTickLabel',{'', 'ML', '',  'HSV', '', 'NCC'});

Credit: This figure is from the work of Sanin et al. "Shadow Detection: A Survey and Comparative Evaluation of Recent Methods."

Answer 1

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clc;
close all;

%Suppose you have the following data for five different strains across 4
%different experimental conditions (Conditions A,B,C,D, from left to right)


Strain1_Mean=[1.0 1.5 2.0 1.5]; % data
Strain2_Mean=[2.0 2.5 2.0 2.5]; % data
Strain3_Mean=[1.0 0.5 1.0 3.5]; % data
Strain4_Mean=[1.2 2.5 1.0 1.5]; % data
Strain5_Mean=[2.1 1.3 2.0 2.5]; % data

Strain1_std=[0.15 1.3 0.5 0.4];    %errors in data
Strain2_std=[1.0 1.5 0.2 0.5];     %errors in data
Strain3_std=[1.3 0.4 0.3 0.5];     %errors in data
Strain4_std=[0.13 1.36 0.17 0.45]; %errors in data
Strain5_std=[1.8 1.1 0.25 0.38];   %errors in data

% for asymmetric errors:

barwitherr(cat(3,zeros(4,5),[Strain1_std' Strain2_std' Strain3_std'...
    Strain4_std' Strain5_std']),[1 2 3 4],[Strain1_Mean' Strain2_Mean'...
    Strain3_Mean' Strain4_Mean' Strain5_Mean'],'LineWidth',2,...
    'BarWidth',0.8)


%for symmetric errors:

% barwitherr([Strain1_std' Strain2_std' Strain3_std' Strain4_std'...
%    Strain5_std'], [1 2 3 4],[Strain1_Mean' Strain2_Mean'...
%    Strain3_Mean' Strain4_Mean' Strain5_Mean']) 



set(gca,'XTickLabel',{'Group A','Group B','Group C','Group D'})
   legend('Parameter 1','Parameter 2','Parameter 3','Parameter 4',...
       'Parameter 5')
    ylabel('Value')
    grid on
   colormap summer

if you want to add more data sets, change zeros(4,5) to zeros(4,...) 6,7,8... 

I don't know how implement circles and squares like in example, if somebody can do it, you are welcome to improve :)][3]