how to add a normal distribution to a figure?
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Hello
I want to creat this figure (regenrate paper)
now I got this one
how to add some normal distribution to my figure?
3 Kommentare
Adam Danz
am 10 Aug. 2020
Normal distributions (I'll call them Gaussians) are defined by two parameters, as minimum: center and width (mean and std). Given an area, there are lots of (infinite?) combinations of parameters that could result in that area.
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Adam Danz
am 5 Aug. 2020
Bearbeitet: Adam Danz
am 25 Okt. 2021
You can use this fully parameterized guassian function explained here
It can be simplified if you don't need the vertical offset or amp terms.
gaus = @(x,mu,sig,amp,vo)amp*exp(-(((x-mu).^2)/(2*sig.^2)))+vo;
Alternatively, since the curves you shared show square waves and gaussians, you might be looking for a higher-order Gaussian or super-Gaussian function.
supGaus = @(x, sigma, center, amplitude, k) amplitude .* exp(-((x-center).^2/(2*sigma.^2)).^k);
- x: a vector of x-values
- sigma: width parameter
- center: defines center of curve or the mean of the guassian
- amplitude: defines the height of the curve
- k: the 'shape' paramter which determines the steepness of falloff and how flat the top of the curve is. When k=1 the curve will be Gaussian. When k=inf the curve will be a step function.
x = 400:5:2100;
center = 1260;
sigma = 250;
amplitude = 60;
% showing results for various k=values defined in legend
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