VerbAgg {lme4} | R Documentation |
These are the item responses to a questionaire on verbal aggression. These data are used throughout De Boeck and Wilson, Explanatory Item Response Models (Springer, 2004) to illustrate various forms of item response models.
A data frame with 7584 observations on the following 13 variables.
Anger
Gender
M
and F
item
resp
no
< perhaps
< yes
id
btype
curse
, scold
and shout
situ
other
and self
indicating other-to-blame and self-to-blamemode
want
and do
r2
N
and Y
http://bear.soe.berkeley.edu/EIRM/
De Boeck and Wilson (2004), Explanatory Item Response Models, Springer.
str(VerbAgg) xtabs(~ item + resp, VerbAgg) xtabs(~ btype + resp, VerbAgg) round(100 * ftable(prop.table(xtabs(~ situ + mode + resp, VerbAgg), 1:2), 1)) person <- unique(subset(VerbAgg, select = c(id, Gender, Anger))) if (require(lattice)) { densityplot(~ Anger, person, groups = Gender, auto.key = list(columns = 2), xlab = "Trait Anger score (STAXI)") }