How can I add standard error bars from standard deviation to individual points on a scatter plot ??
8 views (last 30 days)
Show older comments
Hi, I have the following code:
dataset = xlsread('Test Excel file Mean and std.xlsx');
x = dataset(:, 1);
y = dataset(:, 2);
scatter(x,y,'*b');
grid on
a = ismembertol(dataset(:, 1), 0.13, 0.001); % Rows where column 1 = 0.13
b = ismembertol(dataset(:, 1), 0.26, 0.001); % Rows where column 1 = 0.26
c = ismembertol(dataset(:, 1), 0.39, 0.001); % Rows where column 1 = 0.39
d = ismembertol(dataset(:, 1), 0.52, 0.001); % Rows where column 1 = 0.52
e = ismembertol(dataset(:, 1), 0.65, 0.001); % Rows where column 1 = 0.65
theMean1 = mean(y(a));
theMean2 = mean(y(b));
theMean3 = mean(y(c));
theMean4 = mean(y(d));
theMean5 = mean(y(e));
hold all;
plot(0.13, theMean1, 'rs','MarkerFaceColor','r','MarkerSize',10);
plot(0.26, theMean2, 'rs','MarkerFaceColor','r','MarkerSize',10);
plot(0.39, theMean3, 'rs','MarkerFaceColor','r','MarkerSize',10);
plot(0.52, theMean4, 'rs','MarkerFaceColor','r','MarkerSize',10);
plot(0.65, theMean5, 'rs','MarkerFaceColor','r','MarkerSize',10);
xlabel('distance d b/w mic pairs[cm]');
ylabel('\phi_r_a_t_i_o');
title('Relationship between \phi ratio and distance between Mic Pairs for Array 3');
When I run this code i get following figure :
Now, I want to display error bars such as it shows variation of error from blue data points to each red square for each set of data.Also I want to compute error bars with the help of standard deviation. Can anybody suggest me suitable code modification so that i can get a desirable display ? Thank you
0 Comments
Answers (1)
jonas
on 13 Oct 2018
I do not have your dataset so cannot run your code. Here's an example of how to use the build-in function errorbar. Should be easy to adapt.
x=1:10;
y=rand(10,50)
errorbar(x,mean(y,2),std(y,[],2))
0 Comments
See Also
Categories
Find more on Errorbars in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!