I have circular data and want to check whether it is a normal (Von Mises) distribution or not.
I do the following steps:
Create a Von Mises distribution with the same mean and kappa as my main data (using circ_vmrnd).
Use two sample Kuiper test to compare the two sets of data (My main data and the Von Mises data that I created based on the main data). I use circ_kuipertest for this aim.
If the null hypothesis is rejected, I then conclude that my input data does not have a normal distribution.
I want to know whether it is a correct approach to find whether an input data of angles is Von Mises or not. Any help is greatly appreciated.
I have circular data and want to check whether it is a normal (Von Mises) distribution or not.
I do the following steps:
Create a Von Mises distribution with the same mean and kappa as my main data (using circ_vmrnd). Use two sample Kuiper test to compare the two sets of data (My main data and the Von Mises data that I created based on the main data). I use circ_kuipertest for this aim. If the null hypothesis is rejected, I then conclude that my input data does not have a normal distribution.
I want to know whether it is a correct approach to find whether an input data of angles is Von Mises or not. Any help is greatly appreciated.