Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.
# S3 method for confint.glht tidy(x, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
tidy()
, multcomp::confint.glht()
, multcomp::glht()
Other multcomp tidiers:
tidy.cld()
,
tidy.glht()
,
tidy.summary.glht()
A tibble::tibble()
with columns:
Upper bound on the confidence interval for the estimate.
Lower bound on the confidence interval for the estimate.
Levels being compared.
The estimated value of the regression term.
if (requireNamespace("multcomp", quietly = TRUE)) { library(multcomp) library(ggplot2) amod <- aov(breaks ~ wool + tension, data = warpbreaks) wht <- glht(amod, linfct = mcp(tension = "Tukey")) tidy(wht) ggplot(wht, aes(lhs, estimate)) + geom_point() CI <- confint(wht) tidy(CI) ggplot(CI, aes(lhs, estimate, ymin = lwr, ymax = upr)) + geom_pointrange() tidy(summary(wht)) ggplot(mapping = aes(lhs, estimate)) + geom_linerange(aes(ymin = lwr, ymax = upr), data = CI) + geom_point(aes(size = p), data = summary(wht)) + scale_size(trans = "reverse") cld <- cld(wht) tidy(cld) } #> # A tibble: 3 × 2 #> tension letters #> <chr> <chr> #> 1 L b #> 2 M a #> 3 H a