How do I fit a gaussian to a bar plot and extract the variance of the gaussian?

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Kaufkj44
Kaufkj44 2021-9-10
回答： Star Strider 2021-9-10
Because I'm not starting with raw histogram data, it's my understanding that histfit isn't apropriate for generating a gaussian fit. This has been my approach thus far:
x=[8,11,8,10,8,21,26,33,28,8,17,7,4,10,12];
y=1:15;
[fitobject,gof]=fit(y',x','gauss2');
figure
bar(y,x)
hold on
plot(fitobject,y,x)
but 1) it's unclear whether this is the best way to do this, and 2) I don't know how to extract the variance from this gaussian.
Thoughts? Thanks in advance!

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Star Strider
Star Strider 2021-9-10
Ran in:
One approach —
x=[8,11,8,10,8,21,26,33,28,8,17,7,4,10,12];
y=1:15;
[fitobject,gof]=fit(y',x','gauss1');
figure
bar(y,x)
hold on
plot(fitobject,y,x)
fitobject
fitobject =
General model Gauss1: fitobject(x) = a1*exp(-((x-b1)/c1)^2) Coefficients (with 95% confidence bounds): a1 = 24.61 (17.1, 32.13) b1 = 7.828 (6.673, 8.983) c1 = 4.645 (2.954, 6.335)
Mean = fitobject.b1
Mean = 7.8278
Sigma = fitobject.c1
Sigma = 4.6447
Variance = fitobject.c1^2
Variance = 21.5732
Using ‘Gauss2’ is likely inappropriate here.
Experiment to get different results.
.

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