convert.cer.to.d | 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. \Sexpr[results=rd]{tools:::Rd_expr_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);
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