Glance accepts a model object and returns a
with exactly one row of model summaries. The summaries are typically
goodness of fit measures, p-values for hypothesis tests on residuals,
or model convergence information.
Glance never returns information from the original call to the modeling function. This includes the name of the modeling function or any arguments passed to the modeling function.
Glance does not calculate summary measures. Rather, it farms out these
computations to appropriate methods and gathers the results together.
Sometimes a goodness of fit measure will be undefined. In these cases
the measure will be reported as
Glance returns the same number of columns regardless of whether the
model matrix is rank-deficient or not. If so, entries in columns
that no longer have a well-defined value are filled in with an
of the appropriate type.
## S3 method for class 'anova' glance(x, ...)
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
tibble::tibble() with exactly one row and columns:
Deviance of the model.
Residual degrees of freedom.
Note that the output of
glance.anova() will vary depending on the initializing
anova call. In some cases, it will just return an empty data frame. In other
glance.anova() may return columns that are also common to
tidy.anova(). This is partly to preserve backwards compatibility with early
broom, but also because the underlying anova model yields
components that could reasonably be interpreted as goodness-of-fit summaries
Other anova tidiers:
# fit models a <- lm(mpg ~ wt + qsec + disp, mtcars) b <- lm(mpg ~ wt + qsec, mtcars) mod <- anova(a, b) # summarize model fit with tidiers tidy(mod) glance(mod) # car::linearHypothesis() example library(car) mod_lht <- linearHypothesis(a, "wt - disp") tidy(mod_lht) glance(mod_lht)
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