# part of ?glm
counts <- c(18,17,15,20,10,20,25,13,12)
outcome <- gl(3,1,9)
treatment <- gl(3,3)
print(d.AD <- data.frame(treatment, outcome, counts))
glm.D93 <- glm(counts ~ outcome + treatment, family=poisson())
summary( glm.D93 )
with( options(show.signif.stars = FALSE,show.coef.Pvalues=FALSE),
summary( glm.D93) )
a <- try(
with( options( warn = 2) , warning( "more than a warning" ) ),
silent = TRUE )
class( a )
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