# How to do normal distribution for same data?

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RoBoTBoY on 16 Nov 2022
Commented: Star Strider on 16 Nov 2022
Hello,
I wrote these lines below, but maybe i'm doing something wrong.
%Import front sonar for 30cm:
sonar_F_030 = readtable('sonar_F_030.csv');
%Split ranges from file
range = sonar_F_030.range;
pd = fitdist(range,'Normal');
mu1 = pd.mu;
sigma1 = pd.sigma;
x = (-3:.1:3);
y = normpdf(range,mu1,sigma1);
plot(x,y)
Error using plot
Vectors must be the same length.
How can I do normal distribution for these data;
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### Accepted Answer

Star Strider on 16 Nov 2022
Try something like this —
%Import front sonar for 30cm:
sonar_F_030 = readtable('https://www.mathworks.com/matlabcentral/answers/uploaded_files/1195733/sonar_F_030.csv')
sonar_F_030 = 950×2 table
range time _______ ________ 0.3044 0.062361 0.3044 0.12892 0.30696 0.19563 0.30376 0.26228 0.30696 0.32898 0.30376 0.3957 0.30376 0.46234 0.30376 0.52899 0.30759 0.59565 0.3044 0.66232 0.30759 0.72895 0.30312 0.79598 0.3012 0.86278 0.3044 0.92966 0.3044 0.99618 0.3012 1.0629
%Split ranges from file
range = sonar_F_030.range;
pd = fitdist(range,'Normal');
mu1 = pd.mu;
sigma1 = pd.sigma;
% x = (-3:0.01:3);
x = linspace(min(range), max(range)+0.01, numel(range));
y = normpdf(x,mu1,sigma1);
figure
plot(x,y)
grid
Make appropriate changes to get the desired result.
.
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Star Strider on 16 Nov 2022
As always, my pleasure!

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### More Answers (1)

Torsten on 16 Nov 2022
%Import front sonar for 30cm:
sonar_F_030 = readtable("https://de.mathworks.com/matlabcentral/answers/uploaded_files/1195733/sonar_F_030.csv");
%Split ranges from file
range = sonar_F_030.range;
pd = fitdist(range,'Normal');
mu1 = pd.mu
mu1 = 0.3035
sigma1 = pd.sigma
sigma1 = 0.0023
x = (0.29:.0001:0.315);
y = normpdf(x,mu1,sigma1);
plot(x,y)
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RoBoTBoY on 16 Nov 2022
Thank you very much!

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