Glance at a(n) factanal object

Glance accepts a model object and returns a tibble::tibble() 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 NA.

# S3 method for factanal
glance(x, ...)

Arguments

x

A factanal object created by stats::factanal().

...

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.

Value

A one-row tibble::tibble with columns:

n.factors

The number of fitted factors

total.variance

Total cumulative proportion of variance accounted for by all factors

statistic

Significance-test statistic

p.value

p-value from the significance test, describing whether the covariance matrix estimated from the factors is significantly different from the observed covariance matrix

df

Degrees of freedom used by the factor analysis

n

Sample size used in the analysis

method

The estimation method; always Maximum Likelihood, "mle"

converged

Whether the factor analysis converged

See also

glance(), stats::factanal()

Other factanal tidiers: augment.factanal, tidy.factanal