Error bar with CI 95 on bar graph

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Anum Ali 2019-11-15

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编辑： Adam Danz 2020-12-9

Hi,

Can anyone tell how to apply CI 95% error bars on grouped bar graph.

Thanks

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Adam Danz 2019-11-15

编辑：Adam Danz 2019-11-15

Your method of computing CIs (using tinv) requires that your data form a normal distribution. You're also only computing 1-tail of the CI, is that intentional?

Anum Ali 2019-11-15

I require something like this

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Adam Danz 2019-11-15

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https://ww2.mathworks.cn/matlabcentral/answers/491212-error-bar-with-ci-95-on-bar-graph#answer_401611

编辑：Adam Danz 2020-12-9

在 MATLAB Online 中打开

Here's an anonymous function that computes the 95% CI based on the tinv method which requires that your data approximately form a normal distirbution. See this link for more information on this function.

% x is a vector, matrix, or any numeric array of data. NaNs are ignored.
% p is a the confident level (ie, 95 for 95% CI)
% The output is 1x2 vector showing the [lower,upper] interval values.
CIFcn = @(x,p)std(x(:),'omitnan')/sqrt(sum(~isnan(x(:)))) * tinv(abs([0,1]-(1-p/100)/2),sum(~isnan(x(:)))-1) + mean(x(:),'omitnan'); 
% Demo
% x = randn(100,1) + 5; 
% p = 95; 
% CI = CIFcn(x,p)

Here's a demo using your code

EE = [0.0363 0.0312 0.0274 0.0244 0.0220 0.0200 0.0183 0.0168 0.0155 0.0143];

CIFcn = @(x,p)std(x(:),'omitnan')/sqrt(sum(~isnan(x(:)))) * tinv(abs([0,1]-(1-p/100)/2),sum(~isnan(x(:)))-1) + mean(x(:),'omitnan');

CI = CIFcn(EE,96);

% Compute the distance of the upper and lower bounds

CIdist = abs(CI-mean(EE));

% plot

plot(1, mean(EE), 'bo')

hold on

errorbar(1, mean(EE), CIdist(1), CIdist(2))

ylim([0, .05])

grid on

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Anum Ali 2019-11-15

Ya I get the concept of your solution but now I edited to all data still it gave the error

Error using errorbar (line 70)

X, Y, and error bars all must be the same length.

Error in ra30 (line 206)

errorbar(p_device, EE,CI)

because CI only had two values ? why CI has two values?

Adam Danz 2019-11-15

编辑：Adam Danz 2019-11-15

I couldn't possibly answer that without knowing what inputs you're providing.

I have no idea what your data look like. Are you provding the CIFcn() function a matrix? a vector? If you're providing a matrix and you'd like to compute the CIs for each column, you'll need to provide each column as input individually or rewrite the function.

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