anova_tables: ANOVA Tables

In dr-JT/resultsoutput: Get full output from statistical models in nice looking tables

ANOVA Tables

Description

Get ANOVA F-Table, contrasts, and pairwise comparisons

Usage

anova_tables(
  x,
  eta_squared = TRUE,
  omega_squared = TRUE,
  epsilon_squared = FALSE,
  effects = "fixed",
  contrast = NULL,
  at = NULL,
  standardized = TRUE,
  unstandardized = TRUE,
  ci = 0.95,
  ci_method = NULL,
  p_adjust = "none",
  bootstrap = FALSE,
  iterations = NULL,
  pbkrtest.limit = NULL,
  lmerTest.limit = NULL,
  digits = 3,
  id_col = "Subject",
  print = TRUE
)

Arguments

x	an lmer model object
eta_squared	logical. Include partial-eta sqaured effect size? Default: TRUE
omega_squared	logical. Include omega sqaured effect size? Default: TRUE
epsilon_squared	logical. Include epsilon sqaured effect size? Default: FALSE
effects	"fixed" or "all". default is "fixed" to reduce computation time
contrast	The factor(s) at which to compare levels at
at	Additional interacting factor(s) to compare the effect of contrast at
standardized	Logical, indicating whether or not to print standardized estimates. Standardized estimates are based on "refit" of the model on standardized data but it will not standardize categorical predictors. Defualt is TRUE.
unstandardized	Logical, indicating whether or not to print unstandardized estimates. Default is TRUE.
ci	Confidence Interval (CI) level. Default to 0.95
ci_method	Documention based on ?parameters::parameters. Method for computing degrees of freedom for confidence intervals (CI) and the related p-values. Allowed are following options (which vary depending on the model class): "residual", "normal", "likelihood", "satterthwaite", "kenward", "wald", "profile", "boot", "uniroot", "ml1", "betwithin", "hdi", "quantile", "ci", "eti", "si", "bci", or "bcai". See section Confidence intervals and approximation of degrees of freedom in model_parameters() for further details. When ci_method=NULL, in most cases "wald" is used then.
p_adjust	The p-values adjustment method for frequentist multiple comparisons. Can be one of "holm", "tukey", "hochberg", "hommel", "bonferroni", "BH", "BY", "fdr" or "none" (default). See the p-value adjustment section in the emmeans::test documentation.
bootstrap	Documention based on ?parameters::parameters. Should estimates be based on bootstrapped model? If TRUE, then arguments of Bayesian regressions apply (see also bootstrap_parameters()).
iterations	Documention based on ?parameters::parameters. The number of bootstrap replicates. This only apply in the case of bootstrapped frequentist models.
pbkrtest.limit	Optional parameter that can be set to help calculate dfs. If you need to use this a warning message will appear in the console telling you what to set this at.
lmerTest.limit	Optional parameter that can be set to help calculate dfs. If you need to use this a warning message will appear in the console telling you what to set this at.
digits	How many decimal places to round to? Default is 3.
id_col	The column containing subject ids. Default is "Subject"
print	Create a knitr table for displaying as html table? (default = TRUE)

dr-JT/resultsoutput documentation built on Jan. 4, 2024, 9:09 a.m.