mfit: Computes main and interaction fitted effects

Description Usage Arguments See Also Examples

Description

Calculates main fitted effects for individual factors and two-way interaction fitted effects for all pairs of factors. Any number of factors may be input. Three-way, four-way, etc. fitted effects are not shown, even when more than two factors are given.

Usage

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mfit(y, ..., dec = 3)

Arguments

y

Vector of responses whose fitted effects are shown.

...

Vectors of different factors.

dec

Number of decimal places to print.

See Also

lm, fitted

Examples

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# Create a data set with two factors (age and gender)
race<-data.frame(c(1.02,.99,1.11,1.30,1.09,1.26,1.21,1.19,1.30,1.45,1.34,1.49),
                 c('M','M','M','M','M','M','F','F','F','F','F','F'),
                 c('under 50','under 50','under 50','over 50','over 50','over 50',
                   'under 50','under 50','under 50','over 50','over 50','over 50'))
names(race)<-c("time","gender","age")


# Show fitted effects for age, gender and age & gender
means(race$time, race$age, race$gender)

Rlab documentation built on May 30, 2017, 3:26 a.m.