Chi-Square Test with Plain-English Interpretation
Arguments
- x
A factor or character vector (first categorical variable)
- y
A factor or character vector (second categorical variable)
- correct
Logical. Apply Yates continuity correction. Default TRUE.
- conf.level
Confidence level. Default 0.95.
- context
Optional description of the study design or sampling method, echoed back in the printed report. Default NULL.
Value
An object of class statease_chisq containing test
results and interpretation. Use print() to display the
formatted report.
Examples
x <- c("Yes","No","Yes","Yes","No","Yes","No","No","Yes","Yes")
y <- c("Male","Female","Male","Female","Male","Female","Male","Female","Male","Female")
result <- chisq_interpret(x, y)
print(result)
#>
#> -- statease Chi-Square Test Report ------------------------------
#> N : 10
#> -----------------------------------------------------------------
#> Contingency Table (Observed):
#> y
#> x Female Male
#> No 2 2
#> Yes 3 3
#>
#> Expected Frequencies:
#> y
#> x Female Male
#> No 2 2
#> Yes 3 3
#>
#> -----------------------------------------------------------------
#> Chi-square : 0.000
#> df : 1
#> p-value : 1.0000
#> Cramer's V : 0.000 (negligible effect)
#> -----------------------------------------------------------------
#> Assumption Checks:
#> Expected cell frequencies : WARNING (one or more cells < 5)
#> Sample independence : NOTE (assumed from study design, not testable from data)
#>
#> NOTE: Assumption checks are diagnostic tools and may be
#> influenced by sample size and other characteristics of the
#> data. Passing a check does not prove that an assumption is
#> satisfied, and a warning does not automatically invalidate
#> the analysis. Interpret these results alongside your
#> knowledge of the data.
#> -----------------------------------------------------------------
#> Interpretation:
#> The result is not statistically significant (p = 1.0000 > alpha 0.05).
#> There is no significant association between the two variables.
#> Effect size is negligible (V = 0.000).
#> -----------------------------------------------------------------
#>