McNemar's Test with Plain-English Interpretation
Value
An object of class statease_mcnemar 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("No","No","Yes","Yes","No","Yes","Yes","No","Yes","No")
result <- mcnemar_interpret(x, y)
print(result)
#>
#> statease McNemar's Test Report --------------------------------
#> N : 10
#> Table size : 2 x 2
#> Discordant : 3 pairs
#> -----------------------------------------------------------------
#> Contingency Table:
#> y
#> x No Yes
#> No 3 1
#> Yes 2 4
#>
#> -----------------------------------------------------------------
#> p-value : 1.0000
#> Matched OR : 0.500
#> 95% CI : [0.045, 5.514]
#> -----------------------------------------------------------------
#> Interpretation:
#> The result is not statistically significant (p = 1.0000 > alpha 0.05).
#> There is insufficient evidence of a significant difference in paired proportions between the two measurements.
#> Matched OR = 0.500: More subjects changed from the second category to the first category than vice versa.
#> 95% CI [0.045, 5.514] includes 1: No statistically significant evidence of a difference in paired proportions.
#>
#> WARNING: The number of discordant pairs is very small (less than 10). Results may be unreliable. Interpret with caution.
#> WARNING: McNemar's Test assumes that observations are paired and independent across pairs. Violation of this assumption may affect the validity of the results.
#>
#> NOTE: McNemar's Test requires paired or matched data. Ensure that each row in your data represents the same subject measured twice or a matched pair.
#> -----------------------------------------------------------------
#>