Rantwo: Random Two-Factor Data Example

In byandell/pda: Practial Data Analysis for Designed Experiments

Description

Consider a population of seed packets and a population of fields in Dane County. The experiment consists of taking a random sample of seed packets and a random sample of fields, then placing several seeds from each seed packet in each field. Individual plants grown from seed are measured for yield at the end of the growing season.

Usage

data( Rantwo )

Examples

data( Rantwo )
Rantwo$seed = factor( Rantwo$seed )
Rantwo$farm = factor( Rantwo$farm )
Rantwo$seedfarm = with( Rantwo, seed:farm)
Rantwo.fit <- aov( yield ~ seed * farm, Rantwo )
summary( Rantwo.fit )
library( lme4 )
Rantwo.lme <- lmer(yield ~ 1 + (1|seed) + (1|farm) + (1|seedfarm),
   data = Rantwo )
summary( Rantwo.lme )
Rantwo.lmep <- lmer(yield ~ 1 + (1|seed) + (1|farm),
   data = Rantwo )
anova(Rantwo.lme,Rantwo.lmep)

byandell/pda documentation built on May 13, 2019, 9:27 a.m.