Visual Pruner: Visually guided cohort selection for observational studies

Using the app online (free)

Running the app on your local machine (also free; useful for large or secure datasets)

I am hoping to release an R package soon, which will make this easier. In the meantime, here are the steps you need to follow to run Visual Pruner in RStudio:
  1. Follow the link above to start Visual Pruner in your browser.
  2. Click on the "R" tab.
  3. Make sure you have all of the packages listed in the "R session information" panel.
  4. Copy the contents of the "server.R" panel, and save the file as "server.R" on your machine.
  5. Copy the contents of the "ui.R" panel, and save the file as "ui.R" on your machine, in the same directory as your new server.R file.
  6. Do the same thing with "plottingFunctions.R", "psFunctions.R", and "smdFunctions.R".
  7. Open the server.R or ui.R file in RStudio, and click the "runApp" button.

Or you can use the runGitHub() function from the shiny package, with arguments repo= "VisualPruner", username= "LaurenSamuels".

Overview video

Presentation from useR! 2016

Introductory article

Samuels, L. R., & Greevy, R. A., Jr. (2018). Visual Pruner: Visually Guided Cohort Selection for Observational Studies. Observational Studies, 4, 150170.

Github repository

Questions, comments, requests

All are welcome. Please contact Lauren Samuels.

-- LaurieSamuels - 01 Sep 2015
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Topic revision: r16 - 27 Jul 2018, LaurieSamuels

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