ggstatsplot (version 0.0.9)

subtitle_anova_parametric: Making text subtitle for the between-subject anova designs.

Description

Making text subtitle for the between-subject anova designs.

Usage

subtitle_anova_parametric(data, x, y, effsize.type = "unbiased",
  partial = TRUE, conf.level = 0.95, nboot = 100,
  var.equal = FALSE, k = 2, messages = TRUE, ...)

Arguments

data

A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted.

x

The grouping variable from the dataframe data.

y

The response (a.k.a. outcome or dependent) variable from the dataframe data.

effsize.type

Type of effect size needed for parametric tests. The argument can be "biased" ("d" for Cohen's d for t-test; "partial_eta" for partial eta-squared for anova) or "unbiased" ("g" Hedge's g for t-test; "partial_omega" for partial omega-squared for anova)).

partial

Logical that decides if partial eta-squared or omega-squared are returned (Default: TRUE). If FALSE, eta-squared or omega-squared will be returned. Valid only for objects of class lm, aov, anova, or aovlist.

conf.level

Scalar between 0 and 1. If unspecified, the defaults return 95% lower and upper confidence intervals (0.95).

nboot

Number of bootstrap samples for computing effect size (Default: 100).

var.equal

a logical variable indicating whether to treat the variances in the samples as equal. If TRUE, then a simple F test for the equality of means in a one-way analysis of variance is performed. If FALSE, an approximate method of Welch (1951) is used, which generalizes the commonly known 2-sample Welch test to the case of arbitrarily many samples.

k

Number of digits after decimal point (should be an integer) (Default: k = 2).

messages

Decides whether messages references, notes, and warnings are to be displayed (Default: TRUE).

...

Additional arguments.

Examples

# NOT RUN {
# with defaults
subtitle_anova_parametric(
  data = ggplot2::msleep,
  x = vore,
  y = sleep_rem,
  k = 3
)

# modifying the defaults
subtitle_anova_parametric(
  data = ggplot2::msleep,
  x = vore,
  y = sleep_rem,
  effsize.type = "biased",
  partial = FALSE,
  var.equal = TRUE,
  nboot = 10
)
# }

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