pairwise_t_test_mi | R Documentation |
This runs pairwise t-tests (based on lm(), therefore assuming equal variances) on multiple imputations, with the ability to take into account survey weights.
pairwise_t_test_mi( mi_list, dv, groups, weights = NULL, p.adjust.method = p.adjust.methods )
mi_list |
A list of dataframes, each consisting of a multiply imputed dataset |
dv |
The dependent variable for the t.test (must be in mi_list) |
groups |
The grouping variable (each distinct value will be treated as a level) |
weights |
The variable containing survey weights, must be in mi_list |
p.adjust.method |
The method to adjust p-values for multiple comparison (see |
A tibble containing the results of the t-tests with one test per row
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