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Hi,
I have been testing the functional one-way ANOVA and also checked the Cuevas A, et al,. paper.
However, I haven't seen anything regarding effect size.
Desired functionality
Can I calculate any standardized metric of effect size that allows me to compare two functional ANOVA models?
Let's say I am running two similar ANOVAs. The first ANOVA takes a raw dataset (and computes the differences across groups A, B, and C).
The second ANOVA takes a re-scaled version of the same dataset (using the same group variable as factor).
Unfortunately, I cannot help to implement any potential solution as my background is in medicine.
Muchísimas gracias por su respuesta y por todo el esfuerzo en el campo del FDA!!!
Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered:
Thank you for your question! The functional ANOVA you are referring to was contributed by @DavidGarciaFer a few years back, but I do not remember the details now, and I do not know if he will.
As this seems more of a question about the theoretical aspects of the method, instead of about its implementation in scikit-fda, it is maybe better to contact the paper authors by mail (and if they answer you back, please share that information here, as it might be useful for others!).
I will also mention @jltorrecilla , as it is the scikit-fda contributor that is closer to the paper authors in this case, and maybe knows a little more about this.
Motivation
Hi,
I have been testing the functional one-way ANOVA and also checked the Cuevas A, et al,. paper.
However, I haven't seen anything regarding effect size.
Desired functionality
Can I calculate any standardized metric of effect size that allows me to compare two functional ANOVA models?
Let's say I am running two similar ANOVAs. The first ANOVA takes a raw dataset (and computes the differences across groups A, B, and C).
The second ANOVA takes a re-scaled version of the same dataset (using the same group variable as factor).
Unfortunately, I cannot help to implement any potential solution as my background is in medicine.
Muchísimas gracias por su respuesta y por todo el esfuerzo en el campo del FDA!!!
Alternatives
No response
Additional context
No response
The text was updated successfully, but these errors were encountered: