Description Usage Arguments Value
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. |
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