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 vote144 views1 answer
Print data type R
R
1 vote144 views1 answer
Scale between 0 and 1 r
R
-1 vote133 views2 answers
Remove null element from list r
R
0 vote123 views2 answers
Linear regression r text label coefficient ggplot
R
0 vote160 views1 answer
Replace character with na r
R
0 vote124 views1 answer
Check argument of function in r
R
0 vote140 views1 answer
Order barplot ggplot2 by value
R
0 vote130 views1 answer
Base R change axis line width
R
0 vote161 views1 answer
Rstudio github upload
R
2 votes145 views1 answer
Random integer in r
R