convert.cer.to.d {ufs} | R Documentation |
These functions are used by nnc()
in the behaviorchange package to
compute the Numbers Needed for Change, but are also available for manual use.
convert.cer.to.d( cer, eer, eventDesirable = TRUE, eventIfHigher = TRUE, dist = "norm", distArgs = NULL, distNS = "stats" ) convert.d.to.eer( d, cer, eventDesirable = TRUE, eventIfHigher = TRUE, dist = "norm", distArgs = list(), distNS = "stats" ) convert.d.to.nnc(d, cer, r = 1, eventDesirable = TRUE, eventIfHigher = TRUE) convert.eer.to.d( eer, cer, eventDesirable = TRUE, eventIfHigher = TRUE, dist = "norm", distArgs = NULL, distNS = "stats" )
cer |
The Control Event Rate. |
eer |
The Experimental Event Rate. |
eventDesirable |
Whether an event is desirable or undesirable. |
eventIfHigher |
Whether scores above or below the threshold are considered 'an event'. |
dist, distArgs, distNS |
Used to specify the distribution to use to convert
between Cohen's d and the CER and EER. distArgs can be used to specify
additional arguments to the corresponding |
d |
The value of Cohen's d. |
r |
The correlation between the determinant and behavior (for mediated Numbers Needed for Change). |
The converted value.
Gjalt-Jorn Peters & Stefan Gruijters
Maintainer: Gjalt-Jorn Peters gjalt-jorn@userfriendlyscience.com
Gruijters, S. L., & Peters, G. Y. (2019). Gauging the impact of behavior change interventions: A tutorial on the Numbers Needed to Treat. PsyArXiv. doi: 10.31234/osf.io/2bau7
nnc()
in the behaviorchange package.
convert.d.to.eer(d=.5, cer=.25); convert.d.to.nnc(d=.5, cer=.25);