How do I find standard deviations within bimodal data?
5 次查看(过去 30 天)
显示 更早的评论
I have a bimodal data set that looks something like this:

From this, I have been using the function fitgmdist to find the mixing porportions and means of the two peaks:
fit2 = fitgmdist(XM500,2)
fit2 =
Gaussian mixture distribution with 2 components in 1 dimensions
Component 1:
Mixing proportion: 0.418376
Mean: 0.4316
Component 2:
Mixing proportion: 0.581624
Mean: 0.2965
I can pull the amplitude of each peak from the data presented, but I would be unable to re-create the two curves without a standard deviation. Does anyone have experience in this and know how it may be possible?
Thanks!
0 个评论
采纳的回答
Adam
2016-9-22
fit2.Sigma
will give you the covariance array which should just be variances if you have 1d data. The standard deviation can be calculated from this.
更多回答(0 个)
另请参阅
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!