Enables a conversion between Probability of Direction (pd) and p-value.
Usage
pd_to_p(pd, ...)
# S3 method for class 'numeric'
pd_to_p(pd, direction = "two-sided", verbose = TRUE, ...)
p_to_pd(p, direction = "two-sided", ...)
convert_p_to_pd(p, direction = "two-sided", ...)
convert_pd_to_p(pd, ...)
Arguments
- pd
A Probability of Direction (pd) value (between 0 and 1). Can also be a data frame with a column named
pd
,p_direction
, orPD
, as returned byp_direction()
. In this case, the column is converted to p-values and the new data frame is returned.- ...
Arguments passed to or from other methods.
- direction
What type of p-value is requested or provided. Can be
"two-sided"
(default, two tailed) or"one-sided"
(one tailed).- verbose
Toggle off warnings.
- p
A p-value.
Details
Conversion is done using the following equation (see Makowski et al., 2019):
When direction = "two-sided"
p = 2 * (1 - pd)
When direction = "one-sided"
p = 1 - pd
Note that this conversion is only valid when the lowest possible values of pd
is 0.5 - i.e., when the posterior represents continuous parameter space (see
p_direction()
). If any pd < 0.5 are detected, they are converted to a p
of 1, and a warning is given.
References
Makowski, D., Ben-Shachar, M. S., Chen, S. H. A., and Lüdecke, D. (2019). Indices of Effect Existence and Significance in the Bayesian Framework. Frontiers in Psychology 2019;10:2767. doi:10.3389/fpsyg.2019.02767