Bootstrapping a Single Statistic (k=1) The following example…
[This article was first published on CloudStat, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Bootstrapping a Single Statistic (k=1)
The following example generates the bootstrapped 95% confidence interval for R-squared in the linear regression of miles per gallon (mpg) on car weight (wt) and displacement (disp). The data source is mtcars. The bootstrapped confidence interval is based on 1000 replications.
# Bootstrap 95% CI for R-Squared
library(boot)
# function to obtain R-Squared from the data
rsq = function(formula, data, indices) {
d = data[indices,] # allows boot to select sample
fit = lm(formula, data=d)
return(summary(fit)$r.square)
}
# bootstrapping with 1000 replications
results = boot(data=mtcars, statistic=rsq,
R=1000, formula=mpg~wt+disp)
# view results
results
plot(results)
# get 95% confidence interval
boot.ci(results, type="bca")
To leave a comment for the author, please follow the link and comment on their blog: CloudStat.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.