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parameters

model_parameters.htest

Parameters from hypothesis tests

Description

Parameters of h-tests (correlations, t-tests, chi-squared, ...).

Usage

## S3 method for class 'htest'
model_parameters(
  model,
  cramers_v = NULL,
  phi = NULL,
  standardized_d = NULL,
  hedges_g = NULL,
  omega_squared = NULL,
  eta_squared = NULL,
  epsilon_squared = NULL,
  cohens_g = NULL,
  rank_biserial = NULL,
  rank_epsilon_squared = NULL,
  kendalls_w = NULL,
  ci = 0.95,
  bootstrap = FALSE,
  verbose = TRUE,
  ...
)

## S3 method for class 'pairwise.htest'
model_parameters(model, verbose = TRUE, ...)

Arguments

`model`	Object of class `htest` or `pairwise.htest`.
`cramers_v, phi`	Compute Cramer's V or phi as index of effect size. Can be `"raw"` or `"adjusted"` (effect size will be bias-corrected). Only applies to objects from `chisq.test()`.
`standardized_d`	If `TRUE`, compute standardized d as index of effect size. Only applies to objects from `t.test()`. Calculation of `d` is based on the t-value (see `t_to_d`) for details.
`hedges_g`	If `TRUE`, compute Hedge's g as index of effect size. Only applies to objects from `t.test()`.
`omega_squared, eta_squared, epsilon_squared`	Logical, if `TRUE`, returns the non-partial effect size Omega, Eta or Epsilon squared. Only applies to objects from `oneway.test()`.
`cohens_g`	If `TRUE`, compute Cohen's g as index of effect size. Only applies to objects from `mcnemar.test()`.
`rank_biserial`	If `TRUE`, compute the rank-biserial correlation as effect size measure. Only applies to objects from `wilcox.test()`.
`rank_epsilon_squared`	If `TRUE`, compute the rank epsilon squared as effect size measure. Only applies to objects from `kruskal.test()`.
`kendalls_w`	If `TRUE`, compute the Kendall's coefficient of concordance as effect size measure. Only applies to objects from `friedman.test()`.
`ci`	Level of confidence intervals for effect size statistic. Currently only applies to objects from `chisq.test()` or `oneway.test()`.
`bootstrap`	Should estimates be bootstrapped?
`verbose`	Toggle warnings and messages.
`...`	Arguments passed to or from other methods.

Value

A data frame of indices related to the model's parameters.

Examples

model <- cor.test(mtcars$mpg, mtcars$cyl, method = "pearson")
model_parameters(model)

model <- t.test(iris$Sepal.Width, iris$Sepal.Length)
model_parameters(model)

model <- t.test(mtcars$mpg ~ mtcars$vs)
model_parameters(model)

model <- t.test(iris$Sepal.Width, mu = 1)
model_parameters(model)

data(airquality)
airquality$Month <- factor(airquality$Month, labels = month.abb[5:9])
model <- pairwise.t.test(airquality$Ozone, airquality$Month)
model_parameters(model)

smokers <- c(83, 90, 129, 70)
patients <- c(86, 93, 136, 82)
model <- pairwise.prop.test(smokers, patients)
model_parameters(model)

parameters

Processing of Model Parameters

v0.13.0

GPL-3

Authors

Daniel Lüdecke [aut, cre] (<https://orcid.org/0000-0002-8895-3206>, @strengejacke), Dominique Makowski [aut] (<https://orcid.org/0000-0001-5375-9967>), Mattan S. Ben-Shachar [aut] (<https://orcid.org/0000-0002-4287-4801>), Indrajeet Patil [aut] (<https://orcid.org/0000-0003-1995-6531>, @patilindrajeets), Søren Højsgaard [aut], Zen J. Lau [ctb], Vincent Arel-Bundock [ctb] (<https://orcid.org/0000-0003-1995-6531>, @vincentab), Jeffrey Girard [ctb] (<https://orcid.org/0000-0002-7359-3746>, @jeffreymgirard)

Initial release

model_parameters.htest

Description

Usage

Arguments

Value

Examples

parameters

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