report.aov: Reporting ANOVAs

In neuropsychology/report: Automated Reporting of Results and Statistical Models

Reporting ANOVAs

Description

Create reports for ANOVA models.

Usage

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

## S3 method for class 'aov'
report_effectsize(x, ...)

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

## S3 method for class 'aov'
report_statistics(x, table = NULL, ...)

## S3 method for class 'aov'
report_parameters(x, ...)

## S3 method for class 'aov'
report_model(x, table = NULL, ...)

## S3 method for class 'aov'
report_info(x, effectsize = NULL, ...)

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

Arguments

x	Object of class aov, anova or aovlist.
...	Arguments passed to or from other methods.
table	Provide the output of report_table() to avoid its re-computation.
effectsize	Provide the output of report_effectsize() 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

data <- iris
data$Cat1 <- rep(c("A", "B"), length.out = nrow(data))

model <- aov(Sepal.Length ~ Species * Cat1, data = data)
r <- report(model)
r
summary(r)
as.data.frame(r)
summary(as.data.frame(r))

neuropsychology/report documentation built on April 3, 2024, 4:08 p.m.