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)

Similar codes

0 vote352 views1 answer
Lubridate sequence of dates
R
0 vote345 views1 answer
Color code in r
R
0 vote348 views1 answer
R: network randomization test igprah stakoverflow
R
0 vote358 views1 answer
Count word in a string r
R
1 vote363 views1 answer
Add a vertical line in ggplot
R
0 vote339 views1 answer
Ggplot box plot without outliers poins
R
0 vote359 views1 answer
Bar plot R
R
0 vote353 views2 answers
Modulo in r
R
0 vote359 views1 answer
R yardstick confusion matrix
R
1 vote407 views1 answer
R p value star
R