fit gaussian to a known sigma

Hello, I am trying to visualize/plot a standard gaussian fit [a*exp(-((x)/c)^2)] with a known value for c. In this case, it should be fine if a=1.

I am having trouble plotting this since I do not have coordinate pairs to make the graph. I would prefer using a code to do this rather than the curve fitting toolbox if possible because I want to visualize multiple curves at once. Thank you so much for your help!

Answer 1

[Star Strider]

Try this:

gaussfcn = @(b,x) b(1).*exp(-((x)./b(2)).^2);

xv = linspace(-10, 10);
b = [1; 4.2];

yv = gaussfcn(b, xv);

figure(1)
plot(xv, gaussfcn(b, xv))
grid

[Emily Pendleton]

where in this equation can I put in my value for sigma? In one instance, sigma = 0.69232

[Star Strider]

The sigma value would be ‘b(2)’:

gaussfcn = @(b,x) b(1).*exp(-((x)./b(2)).^2);

xv = linspace(-3, 3);
b = [1; 0.69232];

yv = gaussfcn(b, xv);

figure(1)
plot(xv, gaussfcn(b, xv))
grid

[Emily Pendleton]

thank you!

[Star Strider]

As always, my pleasure!