fpe <- read.table("http://data.princeton.edu/wws509/datasets/effort.dat")
attach(fpe)
lmfit = lm( change ~ setting + effort )
sandwich(lmfit)
Fr <- c(68,42,42,30, 37,52,24,43,
66,50,33,23, 47,55,23,47,
63,53,29,27, 57,49,19,29)
Temp <- gl(2, 2, 24, labels = c("Low", "High"))
Soft <- gl(3, 8, 24, labels = c("Hard","Medium","Soft"))
M.user <- gl(2, 4, 24, labels = c("N", "Y"))
Brand <- gl(2, 1, 24, labels = c("X", "M"))
detg <- data.frame(Fr,Temp, Soft,M.user, Brand)
detg.m0 <- glm(Fr ~ M.user*Temp*Soft + Brand, family = poisson, data = detg)
summary(detg.m0)
detg.mod <- glm(terms(Fr ~ M.user*Temp*Soft + Brand*M.user*Temp,
keep.order = TRUE),
family = poisson, data = detg)
sandwich(detg.mod)
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