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aula dados categórico.R
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aula dados categórico.R
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# Libs
library(vcd)
library(Desctools)
# Data
dados<-matrix(c(221, 200, 208, 160, 291, 106, 360, 160, 316, 140, 311, 97),
nrow = 3, ncol = 4,
dimnames = list(Partido=c("Democrata", "Independente", "Republicano"),
Moradia=c("A", "B", "C", "D")))
# teste qui quadrado
chisq <- chisq.test(dados)
# assocstats
assocstats(dados)
# modelo saturado
mod.sat <- glm(Freq ~ Partido*Moradia, family = poisson(), data = dados)
exp(mod.sat$coefficients)
exp(confint(mod.sat))
# modelo independente
mod.ind <- glm(Freq ~ Partido + Moradia, family = poisson(), data = dados)
exp(mod.ind$coefficients)
exp(confint(mod.ind))
anova(mod.ind, mod.sat)
############# ANÁLISE MAIS NÍVEIS ##############
admit <- UCBAdmissions
dimnames(admit) <- list(
Admit = c("Admited", "Rejected"), # a referencia é na ordem
Sex = c("Male", "Female"),
Dept = c("A", "B", "C", "D", "E", "F")
)
ftable(admit,row.vars = c("Dept", "Sex"), col.vars = "Admit")
SA.D <- oddsratio(admit) # oods ratio de sexo e admição por departamento
exp(SA.D$coefficients)
mantelhaen.test(admit) # associação marginal
# associação homogenia
# test brewslow day
SA <- margin.table(admit, c(2,1))
oddsratio(SA)
BreslowDayTest(admit)