Create Interactive Graphics Related to Clinical Trial Safety

A framework for evaluation of clinical trial safety. Users can interactively explore their data using the 'Shiny' application or create standalone 'htmlwidget' charts. Interactive charts are built using 'd3.js' and 'webcharts.js' 'JavaScript' libraries.

The safetyGraphics package provides a framework for evaluation of clinical trial safety in R. The initial release focuses on Evaluation of Drug-Induced Serious Hepatotoxicity (eDISH). A prototype of the eDish interactive graphic is available here and is shown below.

This package is being built in conjunction with the safety-eDISH javascript library. Both packages are under active development with beta testing and an initial release planned for early 2019.

Usage

Users can interactively explore their data with a shiny application or create standalone interactive charts.

Shiny application

The Shiny app provides a simple interface for:

• Loading data
• Customizing settings and data mappings
• Viewing and exporting the interactive graphics

devtools::install_github("ASA-DIA-InteractiveSafetyGraphics/safetyGraphics")
library("safetyGraphics")
chartBuilderApp() #open the shiny application

Standalone charts

Users can also initialize customized standalone charts with a few lines of code.

devtools::install_github("ASA-DIA-InteractiveSafetyGraphics/safetyGraphics")
library("safetyGraphics")
eDISH(data=adlbc, 
      id_col = "USUBJID",
      value_col = "AVAL", 
      measure_col = "PARAM", 
      visit_col = "VISIT",
      visitn_col = "VISITNUM", 
      studyday_col = "ADY",
      normal_col_low = "A1LO", 
      normal_col_high = "A1HI", 
      measure_values = list(ALT = "Alanine Aminotransferase (U/L)",
                            AST = "Aspartate Aminotransferase (U/L)",
                            TB = "Bilirubin (umol/L)",
                            ALP = "Alkaline Phosphatase (U/L)"))