Dear all,
If you are using Cohen's d, this package is for you. The package
"CohensdpLibrary" lets you compute Cohen's d from basic statistics and also get
confidence intervals. It expands on MBESS as it is available for data obtained
in within-subject designs as well as between-subject designs.
It is based on a simple command, e. g.,
Cohensdp( statistics = list(m1=76, m2=72, n=20, s1=14.8, s2=18.8, r=0.2),
design = "within"
)
Learn more at
https://dcousin3.github.io/CohensdpLibrary/
Sincerely,
Denis Cousineau.
[[alternative HTML version deleted]]
_______________________________________________
R-packages mailing list
r-packa...@r-project.org
https://stat.ethz.ch/mailman/listinfo/r-packages
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
