ANOFA (version 0.1.3)

Detergent: Detergent data

Description

The data, taken from rs63;textualANOFA, is a dataset examining the distribution of a large sample of customers, classified over four factors: Softness of water used (3 levels: soft, medium or hard), Expressed preference for brand M or X after blind test (2 levels: Brand M or Brand X), Previously used brand M (2 levels: yes or no), and Temperature of landry water (2 levels: hot or cold). It is therefore a 3 × 2 × 2 × 2 design with 24 cells.

Usage

Detergent

Format

An object of class list.

References

Examples

# convert the data to a data.frame
dta <- data.frame(Detergent)

# run the anofa analysis
if (FALSE) {
w <- anofa( Freq ~  Temperature * M_User * Preference * Water_softness, dta)

# make a plot with all the factors
anofaPlot(w)

# ... or with just a few factors
anofaPlot(w, ~ Preference * M_User )
anofaPlot(w, ~ Temperature )

# extract simple effects
e <- emFrequencies(w, ~ M_User | Preference ) 
}