Main content

Home

Menu

Loading wiki pages...

View
Wiki Version:
Researchers interested in reproducing our analyses in R should do the following (note that reliability analyses cannot be reproduced with the shared data). Validity analyses for BCSCS are in a zipped project folder, too, but are not documented quite as nicely so beginning R users may have a harder time reproducing results. 1. download the zipped folder titled "reproducible project" 2. extract this directory 3. open the project in R Studio (file ends in .Rproj and looks like a little box 4. In R studio, open the script 'reproducible_analysis.R' (listed in "Files") and read the notes at the top for instructions on reproducing all or parts of our results. If you are interested in comparing all of our reported numbers against our output, [explore the Markdown Output component][2]. If you have any issues with packages for the main analyses (not the validity analyses for BCSCS), download the tar "reproducible_project_withpackages.tar.gz". On a mac, double click this in the finder to reconstitute the project folder and needed packages, including additional code to use those packages. On a PC, you can reconstitute the project folder and needed packages with the command prompt (type "tar -xzf [path]"). [2]: http://osf.io/9wzu8
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.