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 vote136 views2 answers
How to convert numeric to date in R
R
0 vote79 views1 answer
How to link world bank data into r
R
0 vote153 views1 answer
Print data type R
R
1 vote142 views1 answer
How to fill na values in r
R
0 vote149 views1 answer
R seq
R
0 vote143 views1 answer
R: rename a column
R
0 vote132 views1 answer
Seperate words in column r
R
2 votes85 views1 answer
R data frame random sample
R
1 vote152 views1 answer
R dataframe filter endswith
R
0 vote157 views1 answer
Print the names of all worksheets in r
R