These two functions are used by behaviorchange::nnc() to compute the Numbers Needed for Change.

convert.d.to.nnc(d, cer, r = 1, eventDesirable = TRUE,
  eventIfHigher = TRUE)

Arguments

d

The value of Cohen's d.

cer

The Control Event Rate.

r

The correlation between the determinant and behavior (for mediated Numbers Needed for Change).

eventDesirable

Whether an event is desirable or undesirable.

eventIfHigher

Whether scores above or below the threshold are considered 'an event'.

Value

The converted value.

References

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

See also

Examples

convert.d.to.eer(d=.5, cer=.25);
#> [1] 0.4307403
convert.d.to.nnc(d=.5, cer=.25);
#> [1] 5.532801 #> attr(,"eer") #> [1] 0.4307403