Bootstrap with logistic regression

August 1, 2015

(This article was first published on r - Brandon Bertelsen, and kindly contributed to R-bloggers)

Bootstrap with logistic regression

A quick example of bootstraping a logistic regression. Nothing special here, example could be extended to any other type of model that has a coef() method.

logit_test <- function(d,indices) {  
d <- d[indices,]  
fit <- glm(your ~ formula, data = d, family = "binomial")  

boot_fit <- boot(  
   data = your_data, 
   statistic = logit_test, 
   R = 1e5

To leave a comment for the author, please follow the link and comment on their blog: r - Brandon Bertelsen. offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...

If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Comments are closed.


Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)