icecream {multpois}R Documentation

Mixed factorial 2×2 design with polytomous response

Description

This synthetic dataset represents a survey of 40 respondents about their favorite ice cream flavor. Twenty of the respondents were adults and 20 were children. They were queried four times over the course of a year, once in the middle of each season (fall, winter, spring, summer).

This dataset has a polytomous response Pref and two factors, Age and Season. The response has the unordered categories {vanilla, chocolate, strawberry, other}. Factor Age has levels {adult, child}, and factor Season has levels {fall, winter, spring, summer}. It also has a PId column for participant identifier. Each participant identifier is repeated four times, once per season.

Format

A data frame with 160 observations on the following 4 variables:

PId

a subject identifier with levels "1" ... "40"

Age

a between-subjects factor with levels "adult", "child"

Season

a within-subjects factor with levels "fall", "winter", "spring", "summer"

Pref

a polytomous response with categories "vanilla", "chocolate", "strawberry", "other"

See Also

See vignette("multpois", package="multpois") for a complete analysis of this data set.

Examples

data(icecream, package="multpois")

icecream$PId = factor(icecream$PId)
icecream$Pref = factor(icecream$Pref)
icecream$Age = factor(icecream$Age)
icecream$Season = factor(icecream$Season)
contrasts(icecream$Age) <- "contr.sum"
contrasts(icecream$Season) <- "contr.sum"

m = glmer.mp(Pref ~ Age*Season + (1|PId), data=icecream)
Anova.mp(m, type=3)
glmer.mp.con(m, pairwise ~ Age*Season, adjust="holm")


[Package multpois version 0.2.0 Index]