A Shiny App for Playing with OLS

November 11, 2013

(This article was first published on Econometrics by Simulation, and kindly contributed to R-bloggers)

http://spark.rstudio.com/fsmart/OLS-App/Ordinary least squares continues to be the staple estimator for causal inference for good reason.  In order to help new and veteran OLS users get a better sense of how it is working I have created a shiny app that allows for instant interactivity returning coefficient estimates and prediction graphs through Shiny’s easy to use user interface controls.

The app only has a single x variable which is randomly drawn from a normal distribution with mean 2 and standard deviation specified by the user.  There is also an error term u which has mean 0 and standard deviation specified by the user.

The user also has control of how many observations to generate and how to generate the dependent variable y.

To play around with the app go to: http://spark.rstudio.com/fsmart/OLS-App/

To leave a comment for the author, please follow the link and comment on their blog: Econometrics by Simulation.

R-bloggers.com 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)