Preparing caption in case pairwise comparisons are displayed.
pairwise_p_caption(type, var.equal = FALSE, paired = FALSE,
p.adjust.method = "holm", caption = NULL, ...)
Type of statistic expected ("parametric"
or "nonparametric"
or "robust"
or "bayes"
).Corresponding abbreviations are also accepted:
"p"
(for parametric), "np"
(nonparametric), "r"
(robust), or
"bf"
resp.
a logical variable indicating whether to treat the
variances in the samples as equal. If TRUE
, then a simple F
test for the equality of means in a one-way analysis of variance is
performed. If FALSE
, an approximate method of Welch (1951)
is used, which generalizes the commonly known 2-sample Welch test to
the case of arbitrarily many samples.
a logical indicating whether you want a paired t-test.
Adjustment method for p-values for multiple
comparisons. Possible methods are: "holm"
(default), "hochberg"
,
"hommel"
, "bonferroni"
, "BH"
, "BY"
, "fdr"
, "none"
.
The text for the plot caption.
Additional arguments.