Recalculates a p-value from a reported test statistic and degrees of freedom, then compares it to the reported p-value.
Usage
verify_pvalue(
test_type = c("t", "z", "chi_sq", "f"),
statistic,
df = NULL,
reported_p,
alternative = "two.sided",
tolerance = 0.01
)Arguments
- test_type
Character. One of
"t","z","chi_sq","f".- statistic
Numeric. The reported test statistic.
- df
Numeric. Degrees of freedom. For F-tests, a vector of length 2. Not required for z-tests.
- reported_p
Numeric. The reported p-value.
- alternative
Character. One of
"two.sided"(default),"less","greater".- tolerance
Numeric. Acceptable absolute difference (default 0.01).
Value
A list with components:
- consistent
Logical. TRUE if p-values match within tolerance.
- reported_p
The reported p-value.
- recalculated_p
The recalculated p-value.
- difference
Absolute difference.
- test_type
The test type used.
- statistic
The test statistic.
Examples
# Consistent: chi-squared = 3.84, df = 1, p = 0.05
verify_pvalue("chi_sq", statistic = 3.84, df = 1, reported_p = 0.05)
#> $consistent
#> [1] TRUE
#>
#> $reported_p
#> [1] 0.05
#>
#> $recalculated_p
#> [1] 0.05004352
#>
#> $difference
#> [1] 4.352125e-05
#>
#> $test_type
#> [1] "chi_sq"
#>
#> $statistic
#> [1] 3.84
#>