hrm_test_internal: Test for Multi-Factor High-Dimensional Repeated Measures
In happma/HRM: High-Dimensional Repeated Measures

Performing main and interaction effects of up to three whole- or subplot-factors. In total, a maximum of four factors can be used. There are two different S3 methods available. The first method requires a list of matrices in the wide table format. The second methodl requres a data.frame in the long table format.

1 2	hrm_test_internal(formula, data, alpha = 0.05, subject, variable, nonparametric, np.correction)

`formula`	A model formula object. The left hand side contains the response variable and the right hand side contains the whole- and subplot factors.
`data`	Either a data.frame (one observation per row) or a list with matrices (one subject per row) for all groups containing the data
`alpha`	alpha level used for calculating the critical value for the test
`subject`	column name within the data frame X identifying the subjects

Returns an object from class HRM containing

`result`	A dataframe with the results from the hypotheses tests.
`formula`	The formula object which was used.
`alpha`	The type-I error rate which was used.
`subject`	The column name identifying the subjects.
`factors`	A list containing the whole- and subplot factors.
`data`	The data.frame or list containing the data.