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 cld tidy(x, ...)
x | A |
---|---|
... | Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
absorbed in |
tidy()
, multcomp::cld()
, multcomp::summary.glht()
,
multcomp::confint.glht()
, multcomp::glht()
Other multcomp tidiers:
tidy.confint.glht()
,
tidy.glht()
,
tidy.summary.glht()
A tibble::tibble()
with columns:
Levels being compared.
Compact letter display denoting all pair-wise comparisons.
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) } #> Loading required package: mvtnorm #> #> Attaching package: ‘mvtnorm’ #> The following object is masked from ‘package:mclust’: #> #> dmvnorm #> Loading required package: TH.data #> #> Attaching package: ‘TH.data’ #> The following object is masked from ‘package:MASS’: #> #> geyser #> # A tibble: 3 × 2 #> tension letters #> <chr> <chr> #> 1 L b #> 2 M a #> 3 H a