pairwise_t_test.Rd
This is wrapper to the pairwise.t.test
function. The p-value adjustment is
"bonferroni" by default. Other possible values are "holm", "hochberg",
"hommel", "BH", "BY", "fdr", "none". See stats::p.adjust()
.
pairwise_t_test(formula, data, p_adj = "bonferroni")
formula | A two sided formula with one variable on either side, e.g. y ~
x, where the left hand side, dependent, variable is a numeric variable in
|
---|---|
data | A data frame that contains the dependent and independent variables. |
p_adj | The p-value adjustment method (see Description). |
An object of class pairwise.htest
as returned by stats::pairwise.t.test()
.
data_df <- dplyr::mutate(vizverb, IV = interaction(task, response)) pairwise_t_test(time ~ IV, data = data_df) #> #> Pairwise comparisons using t tests with pooled SD #> #> data: y and x #> #> verbal.verbal visual.verbal verbal.visual #> visual.verbal 0.0790 - - #> verbal.visual 1.0000 0.0166 - #> visual.visual 0.0044 2.9e-07 0.0241 #> #> P value adjustment method: bonferroni