Using stats::mcnemar.test for comparing dependent proportions.
This is function is dubious. Best not to use it.
Usage
compare_freqs(f, adjust = stats::p.adjust.methods, correct = TRUE)Arguments
- f
A factor vector.
- adjust
Method for correcting p-values. See
stats::p.adjust.- correct
a logical indicating whether to apply continuity correction when computing the test statistic.
Examples
f <- c(
rep("A", 12),
rep("B", 45),
rep("C", 42),
rep("D", 20)
)
compare_freqs(f)
#> Warning: This is function is dubious. Best not to use it.
#> comparison prop1 prop2 Chi.sq df p.raw p.holm
#> 1 A vs. B 0.1008403 0.3781513 17.96491228 1 2.250146e-05 0.0001350088
#> 2 A vs. C 0.1008403 0.3529412 15.57407407 1 7.933499e-05 0.0003966749
#> 3 A vs. D 0.1008403 0.1680672 1.53125000 1 2.159249e-01 0.4318498779
#> 4 B vs. C 0.3781513 0.3529412 0.04597701 1 8.302176e-01 0.8302175918
#> 5 B vs. D 0.3781513 0.1680672 8.86153846 1 2.912420e-03 0.0116496803
#> 6 C vs. D 0.3529412 0.1680672 7.11290323 1 7.653106e-03 0.0229593194