Logistic regression in r

Logistic regression curve fit R

fit = glm(vs ~ hp, data=mtcars, family=binomial)
newdat <- data.frame(hp=seq(min(mtcars$hp), max(mtcars$hp),len=100))
newdat$vs = predict(fit, newdata=newdat, type="response")
plot(vs~hp, data=mtcars, col="red4")
lines(vs ~ hp, newdat, col="green4", lwd=2)

Source: stackoverflow.com

How to code binary response in r

data$response <- ifelse(response == "yes", 1, 0)

Logistic regression in r

mdl_churn_vs_both_inter <- glm(has_churned ~ time_since_first_purchase * time_since_last_purchase, data = churn, family = binomial)

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