# pairwise_p_caption

0th

Percentile

##### Preparing caption in case pairwise comparisons are displayed.

Preparing caption in case pairwise comparisons are displayed.

Keywords
internal
##### Usage
pairwise_p_caption(type, var.equal = FALSE, paired = FALSE,
p.adjust.method = "holm", caption = NULL, ...)
##### Arguments
type

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.

var.equal

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.

paired

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".

caption

The text for the plot caption.

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