| # Copyright (C) 1997-2009 The R Core Team |
| |
| #### -*- R -*- |
| require(stats) |
| 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) |
| summary(detg.mod) |
| summary(detg.mod, correlation = TRUE, symbolic.cor = TRUE) |
| |
| anova(detg.m0, detg.mod) |
