Tadaa, Chi-Square Test!

A comfortable wrapper of stats::chisq.test with pretty output and effect sizes depending on the size of the contingency table: Phi coefficient and Odds Ratios in case of a 2x2 table, Cramer's V otherwise. The result is either returned as a broom::tidy data.frame or prettified using various pixiedust::sprinkle shenanigans.

tadaa_chisq(data, x, y, correct = TRUE, print = c("df", "console", "html",
  "markdown"))

Arguments

data	A data.frame.
x	A vector of categorial data (factor or character).
y	Another vector of categorial data (also factor or character).
correct	Apply Yate's continuity correction for 2x2 tables, passed to stats::chisq.test. Defaults to TRUE.
print	Print method, default df: A regular data.frame. Otherwise passed to pixiedust::sprinkle_print_method for fancyness.

Value

A data.frame by default, otherwise dust object, depending on print.

Note

The warning message in case of low samples size and possibly incorrect approximation is suppressed silently.

See also

Other Tadaa-functions: tadaa_aov, tadaa_kruskal, tadaa_levene, tadaa_nom, tadaa_normtest, tadaa_one_sample, tadaa_ord, tadaa_pairwise_gh, tadaa_pairwise_tukey, tadaa_pairwise_t, tadaa_t.test, tadaa_wilcoxon

Examples

tadaa_chisq(ngo, abschalt, geschl)
#>   statistic     p.value parameter
#> 1 4.7701288 0.028957659         1
#>                                                         method         OR
#> 1 Pearson's Chi-squared test with Yates' continuity correction 0.54945055
#>          phi
#> 1 0.14744196

tadaa_chisq(ngo, abschalt, jahrgang)
#>    statistic    p.value parameter                     method     cramers
#> 1 0.54388304 0.76189882         2 Pearson's Chi-squared test 0.047020279