R로 배우는 계층 및 혼합 효과 모형
Richard Erickson
Data Scientist
glm(y ~ x, family = "gaussian")
?family
glm(y ~ x, family = "poisson")
# binary: y = 0 or 1 glm(y ~ x, family = "binomial") # Wilkinson-Rogers: cbind(success, failure) glm(cbind(success, failure) ~ x, family = "binomial") # Weighted format: y = 0.3, weights = 10 glm(y ~ x, weights = weights, family = "binomial")
# binary: y = 0 or 1 glm(y ~ x, family = "binomial")
# Wilkinson-Rogers: cbind(success, failure) glm(cbind(success, failure) ~ x, family = "binomial")
# Weighted format: y = 0.3, weights = 10 glm(y ~ x, weights = weights, family = "binomial")
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