Reporting estimate_contrasts objects

Create reports for estimate_contrasts objects.

Usage

# S3 method for class 'estimate_contrasts'
report(x, ...)

# S3 method for class 'estimate_contrasts'
report_table(x, ...)

# S3 method for class 'estimate_contrasts'
report_text(x, table = NULL, ...)

Arguments

x

Object of class estimate_contrasts.

...

Arguments passed to or from other methods.

table

Provide the output of report_table() to avoid its re-computation.

Value

An object of class report().

See also

Specific components of reports (especially for stats models):

• report_table()

• report_parameters()

• report_statistics()

• report_effectsize()

• report_model()

• report_priors()

• report_random()

• report_performance()

• report_info()

• report_text()

Other types of reports:

• report_system()

• report_packages()

• report_participants()

• report_sample()

• report_date()

Methods:

• as.report()

Template file for supporting new models:

• report.default()

Examples

library(modelbased)
model <- lm(Sepal.Width ~ Species, data = iris)
contr <- estimate_contrasts(model)
#> No variable was specified for contrast estimation. Selecting `contrast =
#>   "
#>   Species
#>   "`.
report(contr)
#> The marginal contrasts analysis suggests the following. The difference between
#> setosa and versicolor is positive and statistically significant (difference =
#> 0.66, 95% CI [ 0.49, 0.82], t(147) = 9.69, p < .001). The difference between
#> setosa and virginica is positive and statistically significant (difference =
#> 0.45, 95% CI [ 0.29, 0.62], t(147) = 6.68, p < .001). The difference between
#> versicolor and virginica is negative and statistically significant (difference
#> = -0.20, 95% CI [-0.37, -0.04], t(147) = -3.00, p = 0.003)