generate_Ho_from_pairwise_t {mmibain} | R Documentation |
This function generates a null hypothesis statement (Ho) from the results of pairwise t-tests. If pairwise t-tests are not available, it uses the hypothesis from the original study results.
generate_Ho_from_pairwise_t(original_study_results)
original_study_results |
A list containing the results of an original study,
including a |
The function checks if the pairwise_t
element is present in the
original_study_results
list. If present, it extracts the p-values and the
corresponding column and row names to identify all unique variables involved
in the pairwise comparisons.
The unique variables are prefixed with "ColLabs" to denote the column labels from the original dataset. These variables are then concatenated with an equality sign to form the null hypothesis statement, which assumes no difference between any of the groups.
If the pairwise_t
element is not present, indicating that no pairwise
comparisons were made, the function returns the hypothesis generated by the
original study results.
A string representing the null hypothesis for the study.
Ho <- generate_Ho_from_pairwise_t(
original_study_results = process_original_study(
df = generate_study_data(
x = deal_cards_to_rc_grid(n = 3),
sample_size = 30),
alpha = 0.05))