Two-proportion test (chi-square + Fisher exact + Wald)

Usage

mrm_twoprop_test(x1, n1, x2, n2, alpha = 0.05)

Arguments

x1, n1: Successes and trials in group 1.
x2, n2: Successes and trials in group 2.
alpha: CI level (default 0.05).

Value

Named list with p1, p2, diff, chi2, df, p_value_chi2, p_value_fisher, z_wald, p_value_wald, ci95_diff_lower/upper, interpretation.

Examples

# Compare 47/100 vs 31/100; two-sided test.
mrm_twoprop_test(x1 = 47, n1 = 100, x2 = 31, n2 = 100)
#> $p1
#> [1] 0.47
#> 
#> $p2
#> [1] 0.31
#> 
#> $diff
#> [1] 0.16
#> 
#> $chi2
#> [1] 5.3804
#> 
#> $df
#> [1] 1
#> 
#> $p_value_chi2
#> [1] 0.02036407
#> 
#> $p_value_fisher
#> [1] 0.02935582
#> 
#> $z_wald
#> [1] 2.3514
#> 
#> $p_value_wald
#> [1] 0.01870211
#> 
#> $ci95_diff_lower
#> [1] 0.026636
#> 
#> $ci95_diff_upper
#> [1] 0.293364
#> 
#> $interpretation
#> [1] "p1=0.4700, p2=0.3100; Delta=0.1600; chi2(1)=5.380, p_chi2=0.0204, p_Fisher=0.0294."
#>