9/7/2019

Introduction

Background

This presentation serves as a pitch for a Shiny app that was built as a final assignment for the course Developing Data Products.

What is the app for?

The 4-parameter logistic regression model is useful in pharmacology when determining the concentation-response effects of a drug. The app aims to help understand how indivudial function parameters influence the shape of the curve.

URL

https://dalibor.shinyapps.io/Sigmoidal/.

The 4-parameter logistic function

Mathematical formula

To draw a 4-parameter logistic curve, the app:

  • takes different input parameters from the user
  • processes the input in the server.R script and draws the plot
  • the input can be reset to default values using the Reset button

The 4-parameter logistic function

Curve shape

The curve is semi-logarithmic and has a typical S-shape (sigmoidal). The concentration of the drug is shown after log transformation on the x-axis and the biological response on the y-axis.

Thank you for your attention!

This presentation was generated using R version 3.6.1 (2019-07-05).