broom (version 0.5.6)

tidy.glht: Tidy a(n) glht object

Description

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 cross models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

Usage

# S3 method for glht
tidy(x, ...)

Arguments

x

A glht object returned by multcomp::glht().

...

Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in ..., where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass conf.lvel = 0.9, all computation will proceed using conf.level = 0.95. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

See Also

tidy(), multcomp::glht()

Other multcomp tidiers: tidy.cld(), tidy.confint.glht(), tidy.summary.glht()

Examples

# NOT RUN {
if (require("multcomp") && require("ggplot2")) {

    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)
}

# }