t.and.smd.conversion {MBESS} | R Documentation |
Conversion functions for noncentral t-distribution
Description
Functions useful for converting a standardized mean difference to a noncentrality parameter, and vice versa.
Usage
lambda2delta(lambda, n.1, n.2)
delta2lambda(delta, n.1, n.2)
Arguments
lambda |
noncentral value from a t-distribution |
delta |
population value of the standardized mean difference |
n.1 |
sample size in group 1 |
n.2 |
sample size in group 2 |
Details
Although lambda
is the population noncentral value, an estimate of it is the observed value of a
t-statistic. Likewise, delta can be estimated as the observed standardized mean difference. Thus, the observed
standardized mean difference can be converted to the observed t-value. These functions are especially helpful in the
context of forming confidence intervals for the population standardized mean difference.
Value
Either the value of delta
given lambda
or lambda
given delta
(and the per group sample sizes).
Author(s)
Ken Kelley (University of Notre Dame; KKelley@ND.Edu)
See Also
smd
, ci.smd
, ss.aipe.smd
Examples
lambda2delta(lambda=2, n.1=113, n.2=113)
delta2lambda(delta=.266076, n.1=113, n.2=113)