Description Usage Arguments Value Author(s) See Also Examples

Returns a graphical representation and interpretation of Cliff's delta

1 |

`x` |
A 1-column matrix with optional column name containing all |

`y` |
A 1-column matrix with optional column name containing all |

`...` |
Other arguments to be passed on to the |

`dv` |
(For paired comparisons ( |

Returns a graphical representation and text interpretation of Cliff's delta.

Jens Rogmann

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 | ```
## Not run:
#Paired comparison combined inference (Data taken from Long et al. (2003), Table 4)
x2<-t(matrix(c(2,6,6,7,7,8,8,9,9,9,10,10,10,11,11,12,13,14,15,16),1))
colnames(x2)<-c("Incidental")
y2<-t(matrix(c(4,11,8,9,10,11,11,5,14,12,13,10,14,16,14,13,15,15,16,10),1))
colnames(y2)<-c("Intentional")
delta_gr(x2,y2,paired=TRUE,studdist=FALSE,dv=3)
#
#Journal of Statistics Education Dataset: Oral Contraceptive Drug Interaction Study
#Journal of Statistics Education, Volume 12, Number 1 (March 2004).
columns<-c("SubjectNo","Seq","Period","Treatment","EEAUC","EECmax","NETAUC","NETCmax")
data<-read.table("http://www.amstat.org/publications/jse/datasets/ocdrug.dat",col.names=columns)
#
#returns delta (between) and 95
x<-subset(data,data$Treatment==0)[6] #Placebo EECmax
colnames(x)<-"Placebo Phase"
y<-subset(data,data$Treatment==1)[6] #Treatment EECmax
colnames(y)<-"Treatment Phase"
delta_gr(x,y,paired=TRUE,onetailed=TRUE,dv=2)
#
#checks treatment groups delta equivalence in placebo phase
#returns delta and 95
plac<-subset(data,data$Treatment==0)
x<-subset(plac,plac$Period==1)[6] #control (placebo before drug)
colnames(x)<-"Control (before Drug)"
y<-subset(plac,plac$Period==2)[6] #experimental (placebo after drug)
colnames(y)<-"Exp (Placebo after Drug)"
delta_gr(x,y)
#
## End(Not run)
``` |

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