subtitle_contingency_tab

0th

Percentile

Making text subtitle for contingency analysis (Pearson's chi-square test for independence for between-subjects design or McNemar's test for within-subjects design)

Making text subtitle for contingency analysis (Pearson's chi-square test for independence for between-subjects design or McNemar's test for within-subjects design)

Usage
subtitle_contingency_tab(data, main, condition, counts = NULL,
  nboot = 100, paired = FALSE, stat.title = NULL,
  conf.level = 0.95, conf.type = "norm", simulate.p.value = FALSE,
  B = 2000, bias.correct = 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.

main

The variable to use as the rows in the contingency table.

condition

The variable to use as the columns in the contingency table.

counts

A string naming a variable in data containing counts, or NULL if each row represents a single observation (Default).

nboot

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

paired

Logical indicating whether data came from a within-subjects design study (Default: FALSE). If TRUE, McNemar test subtitle will be returned. If FALSE, Pearson's chi-square test will be returned.

stat.title

Title for the effect being investigated with the chi-square test. The default is NULL, i.e. no title will be added to describe the effect being shown. An example of a stat.title argument will be something like "main x condition" or "interaction".

conf.level

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

conf.type

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.

simulate.p.value

a logical indicating whether to compute p-values by Monte Carlo simulation.

B

an integer specifying the number of replicates used in the Monte Carlo test.

bias.correct

If TRUE, a bias correction will be applied to Cramer's V.

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 (currently ignored).

Details

For more details about how the effect sizes and their confidence intervals were computed, see documentation in ?rcompanion::cramerV and ?rcompanion::cohenG.

See Also

ggpiestats

Aliases
  • subtitle_contingency_tab
Examples
# NOT RUN {
# without counts data
ggstatsplot::subtitle_contingency_tab(
  data = mtcars,
  main = am,
  condition = cyl,
  nboot = 15
)

# with counts data
# in case of no variation, a `NULL` will be returned.
library(jmv)

as.data.frame(HairEyeColor) %>%
  dplyr::filter(.data = ., Sex == "Male") %>%
  subtitle_contingency_tab(
    data = .,
    main = Hair,
    condition = Sex,
    counts = Freq
  )
# }
Documentation reproduced from package ggstatsplot, version 0.0.11, License: GPL-3 | file LICENSE

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