VD.A {effsize} | R Documentation |
Computes the Vargha and Delaney A effect size measure.
VD.A(d, ...)
## S3 method for class 'formula'
VD.A(formula,data=list(), ...)
## Default S3 method:
VD.A(d,f, ...)
d |
a numeric vector giving either the data values (if |
f |
either a factor with two levels or a numeric vector of values |
formula |
a formula of the form |
data |
an optional matrix or data frame containing the variables in the formula |
... |
further arguments to be passed to or from methods. |
The function computes the Vargha and Delaney A effect size measure (Vargha and Delaney, 2000).
A list of class effsize
containing the following components:
estimate |
the A statistics estimate |
magnitude |
a qualitative assessment of the magnitude of effect size |
method |
the method used, i.e. |
Marco Torchiano http://softeng.polito.it/torchiano/
A. Vargha and H. D. Delaney. "A critique and improvement of the CL common language effect size statistics of McGraw and Wong." Journal of Educational and Behavioral Statistics, 25(2):101-132, 2000
cliff.delta
, cohen.d
, print.effsize
treatment = rnorm(100,mean=10)
control = rnorm(100,mean=12)
d = (c(treatment,control))
f = rep(c("Treatment","Control"),each=100)
## compute Vargha and Delaney A
## treatment and control
VD.A(treatment,control)
## data and factor
VD.A(d,f)
## formula interface
VD.A(d ~ f)