repeated anova for two groups with time course data

I would like to compare two groups that we subjected to repeated measure across different days.
From what I understand I cannot use ANOVA as the measures are not independent since time is a key factor.
Now I tried to prepare the data for a repeated anova anyalysis to essentially compare the timecourse of the two groups.
However,I’m not sure how to prepare the data for ranova.

Here some example data structure
matrix1 group1: colums = timepoints (1to10) , rows= subjects (N=7)
matrix2 group2 colums = timepoints (1to10), rows= subjects (N=5)
For some subjects a measurement on a given day is missing, is it fine to incle NaNs in the data?
Could anybody give an example of how to prepare the data for such a simple 2 condition comparison?
Unfortunately I could not find an example.I would like to compare two groups that we subjected to repeated measure across different days.
From what I understand I cannot use ANOVA as the measures are not independent since time is a key factor.
Now I tried to prepare the data for a repeated anova anyalysis to essentially compare the timecourse of the two groups.
However,I’m not sure how to prepare the data for ranova.

Here some example data structure
matrix1 group1: colums = timepoints (1to10) , rows= subjects (N=7)
matrix2 group2 colums = timepoints (1to10), rows= subjects (N=5)
For some subjects a measurement on a given day is missing, is it fine to incle NaNs in the data?
Could anybody give an example of how to prepare the data for such a simple 2 condition comparison?
Unfortunately I could not find an example. I would like to compare two groups that we subjected to repeated measure across different days.
From what I understand I cannot use ANOVA as the measures are not independent since time is a key factor.
Now I tried to prepare the data for a repeated anova anyalysis to essentially compare the timecourse of the two groups.
However,I’m not sure how to prepare the data for ranova.

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