Making text subtitle for one sample t-test and its nonparametric and robust equivalents.
subtitle_t_onesample(data, x, type = "parametric", test.value = 0,
bf.prior = 0.707, robust.estimator = "onestep", effsize.type = "g",
effsize.noncentral = TRUE, conf.level = 0.95, conf.type = "norm",
nboot = 100, k = 2, messages = TRUE, ...)A dataframe (or a tibble) from which variables specified are to be taken. A matrix or tables will not be accepted.
A numeric variable.
Type of statistic expected ("parametric" or "nonparametric"
or "robust" or "bayes").Corresponding abbreviations are also accepted:
"p" (for parametric), "np" (nonparametric), "r" (robust), or
"bf"resp.
A number specifying the value of the null hypothesis
(Default: 0).
A number between 0.5 and 2 (default 0.707), the prior width
to use in calculating Bayes factors.
If test = "robust" robust estimator to be used
("onestep" (Default), "mom", or "median"). For more, see
?WRS2::onesampb.
Type of effect size needed for parametric tests. The
argument can be "biased" ("d" for Cohen's d) or "unbiased"
("g" Hedge's g for t-test). The default is
Logical indicating whether to use non-central
t-distributions for computing the confidence interval for Cohen's d
or Hedge's g (Default: TRUE).
Scalar between 0 and 1. If unspecified, the defaults return
95% lower and upper confidence intervals (0.95).
A vector of character strings representing the type of
intervals required. The value should be any subset of the values "norm",
"basic", "perc", "bca". For more, see ?boot::boot.ci.
Number of bootstrap samples for computing confidence interval
for the effect size (Default: 100).
Number of digits after decimal point (should be an integer)
(Default: k = 2).
Decides whether messages references, notes, and warnings are
to be displayed (Default: TRUE).
Additional arguments.
# NOT RUN {
# for reproducibility
set.seed(123)
ggstatsplot::subtitle_t_onesample(
data = iris,
x = Sepal.Length,
test.value = 5,
type = "r"
)
# }
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