tidy.glht {broom} | R Documentation

## 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 class '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

    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)
    }

[Package broom version 0.5.2 Index]