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stargazer2 <- function(model, odd.ratio = F, ...) { | |
if(!("list" %in% class(model))) model <- list(model) | |
if (odd.ratio) { | |
coefOR2 <- lapply(model, function(x) exp(coef(x))) | |
seOR2 <- lapply(model, function(x) exp(coef(x)) * summary(x)$coef[, 2]) | |
p2 <- lapply(model, function(x) summary(x)$coefficients[, 4]) | |
stargazer(model, coef = coefOR2, se = seOR2, p = p2, ...) | |
} else { | |
stargazer(model, ...) | |
} | |
} | |
stargazer(m1, type = "text") # Our standard log odds | |
stargazer2(m1, odd.ratio = T, type = "text") # Now the coefficients and significance is correct! | |
# You can also use lists | |
m1 <- glm(mtcars$vs ~ mtcars$mpg) | |
m2 <- glm(mtcars$vs ~ mtcars$mpg + mtcars$hp) | |
m3 <- glm(mtcars$vs ~ mtcars$mpg + mtcars$hp + mtcars$am) | |
models <- list(m1, m2, m3) | |
stargazer(models, type = "text") | |
stargazer2(models, odd.ratio = T, type = "text") | |
# Same significance but different coefficients and SE's |
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