/PSA-ReD

PSA-ReD is a novel approach to the traditional scatterplot for displaying the results of Probabilistic Sensitivity Analysis. Here, we provide the script and an example dataset so that everyone can use this new and improved approach. This new approach is described in detail in the paper titled "Increasing the information provided by probabilistic sensitivity analysis: The relative density plot"

Primary LanguageRGNU General Public License v3.0GPL-3.0

PSA-ReD: An R script for generating PSA-ReD plots.

Built using R 3.5.2

Described in the publication titled "Increasing the information provided by probabilistic sensitivity analysis: The relative density plot"

Required software:

  • R
  • RStudio

Tutorial:

  • Download 'PSA ReD script - v1.0.2.R' and 'PSA ReD project - v1.0.2.Rproj'
  • Make sure that they are in the same folder, preferably a dedicated folder (ie, not the generic 'download' folder)
  • Open 'PSA-ReD project - v1.0.2.Rproj'
  • Open 'PSA-ReD script - v1.0.2.R'

Now, the script is opened in RStudio and ready to use.

  • Information on using the script is provided in the following places:
    • In the peer-reviewed publication, available at: .
    • In the script, we provide step-by step guidance on how to use it.
  • Lines 1 to 406 should be ran without user input. From line 406, we provide guidance on what user input is required.
  • Parts in between "Do not change the part in between / below" and "Do not change the part in between / above" should not be altered by the user, these should simply be ran.
  • Datafiles should be stored in the same folder as 'PSA-ReD project - v1.0.2.Rproj' and 'PSA-ReD script - v1.0.2.R'.
  • The PSA-ReD images will automatically be saved in this same folder.

We also provide an example datafile with a premade script that is ready to use with this particular datafile. This script is setup so that it generates Figure 2b from the publication.

Tutorial for the premade example:

  • Download 'PSA-ReD example data script.R' and 'eHTA case study data, used for figure 2.csv'
  • Make sure they are in the same folder.
  • Open 'PSA ReD project - v1.0.2.Rproj'
  • Open 'PSA-ReD example data script.R'
  • Run lines 1 to 550, runtime on our typical consumer grade desktop was approximately 33 seconds.
  • In the same folder as where you put the previous files, you will now find "ExampleFigure.PNG"