confidence_intervals: Produce pairwise confidence intervals after one-way ANOVA.
In ricompute/llusmstats: Helper Functions for LLU SM Stats Classes

Description Usage Arguments Details Value Examples

pairwise_lsd_confint() and pairwise_bonf_confint() produce Fisher's Least Significant Difference and Bonferroni confidence intervals, respectively, for differences between group means after one-way ANOVA.

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pairwise_lsd_confint(aov, level = 0.95)

pairwise_bonf_confint(aov, level = 0.95)

`aov`	An `aov` object containing a one-way ANOVA.
`level`	A decimal confidence level for the confidence intervals.

These functions are currently designed to handle only one-way ANOVA objects.

The output will be a data.frame with the following columns:

Groups: A character string showing which group means are being compared.
Difference: The difference between the group means.
Lower: The lower bound of the confidence interval.
Upper: The upper bound of the confidence interval.
Sig: A logical indicating whether the difference between group means is significant at the given confidence level. If TRUE, the confidence interval does not contain 0.

iris_aov <- aov(Sepal.Length ~ Species, iris)
pairwise_lsd_confint(iris_aov)
if (requireNamespace("knitr", quietly = TRUE)) {
    knitr::kable(pairwise_bonf_confint(iris_aov))
} else {
    pairwise_bonf_confint(iris_aov)
}