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 modelling function. This includes the name of the modelling function or any arguments passed to the modelling 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
# S3 method for aov glance(x, ...)
Additional arguments. Not used. Needed to match generic
signature only. Cautionary note: Misspelled arguments will be
broom has changed the return summary and the new model
summary dataframe contains only the following information-
nobs. Note that
tidy.aov contains the numerator and
denominator degrees of freedom, which were previously included in the glance
tibble::tibble() with exactly one row and columns:
Akaike's Information Criterion for the model.
Bayesian Information Criterion for the model.
Deviance of the model.
The log-likelihood of the model. [stats::logLik()] may be a useful reference.
Number of observations used.
#> # A tibble: 4 x 6 #> term df sumsq meansq statistic p.value #> <chr> <dbl> <dbl> <dbl> <dbl> <dbl> #> 1 wt 1 848. 848. 121. 1.08e-11 #> 2 qsec 1 82.9 82.9 11.9 1.82e- 3 #> 3 disp 1 0.00102 0.00102 0.000147 9.90e- 1 #> 4 Residuals 28 195. 6.98 NA NA