I have two points A(30.333,100) and B(30.333151665,80)
I need to draw Gaussian for each point separately and need to check their overlap area for comparison.
Since these two the distance between these two curves is 5 ppm (when compared with x - axis values). I would like to draw the Gaussian curves on ppm scale as base line.
I need to solve this problem. How can I calculate "meu" and sigma for such kind of comparisons and what is the exact formula which gives the distance between these two 2D graphs
Thanks for the reply.
Actually I have two points with x and y coordinates and I want to compare these two points. So, that I will get a score which says how good they are.
What I want to do is to draw a gaussian curve against each point and overlap them and check for the overlapping area.
Is it correct what I'm doing?
Yes, something like that.
How good they are in the sense how good the fit is when you compare or overlap them by drawing Gaussian curves.
Can you please tell me in details how could I calculate the meu and sigma and the formula for calculating the overlap area between two Gaussian.
I'm sorry pleas don't mistake me for asking everything, this is very important for me. I don't want to assume any wrong calculations since these calculations now are very important in the biology field where I'm working in.
For example if you have a peak at a position of 30.33 on x - axis and has a height of 100. Can't we draw a gaussian against that peak?
If we can then we draw peak at at a position of 30.337 on x - axis and has a height of 100.
Now overlapping this two Gaussian curve and calculating the overlap area will give the fit.
If they overlap perfectly then the fit is 1.
I hope I make it clear this time
Sorry, I know it is just a basic question but still it is a puzzle for me.
I agree with Captain Black. I still have only the vaguest notion of what you are trying to do (it looks to me like you are asking how to calculate the distance between two points in the plane using an unusual metric). Assuming that I even understand that correctly, I have no idea why anyone would want to do that (I know what Kullback-Liebler divergence is, but I don't see its usefulness in this context unless I'm missing something).
I suggest you provide a bit more context or a more thorough explanation of what you are doing, or else talk to a statistician at your university. I actually think it would be helpful it you could draw a picture of what you are trying to do and posting it, as well.