Introduction to goshawk

Introduction

This vignette shows the general purpose and syntax of the goshawk R package. The goshawk R package contains analytical functions for primarily creating longitudinal visualizations useful for clinical trials and other statistical analysis.

Common Clinical Trials Analyses

The package provides several functions to create graphs used for clinical trials and other statistical analyses.

data visualizations:

  • box plots
  • correlation and scatter plots
  • density distribution plots
  • line plots
  • spaghetti plots

data tables:

  • box, density and line plots are accompanied by tables displaying descriptive statistics

data brushing:

  • box, correlation and spaghetti plots include data brushing functionality used to display details of data points displayed in the plots

The reference of goshawk functions is available on the goshawk website functions reference.

The goshawk functions used for plot generation are g_ prefixed. All goshawk plot functions are listed on the goshawk website functions reference and include examples of data pre-processing and function usage. Please see the Articles for more information on data pre-processing and data expectations for goshawk.

Interactive Apps

The goshawk outputs can be easily accommodated into shiny apps. We recommend applying goshawk outputs into teal apps. The teal package is a shiny-based interactive exploration framework for analyzing data. teal shiny apps with goshawk outputs are available in the teal.goshawk package.

Data Requirements

goshawk and teal.goshawk have similar data related requirements so we chose to document those in the teal.goshawk package.

For more detail on these requirements please visit the teal.goshawk website.

Summary

In summary, goshawk contains functions for creating primarily longitudinal visualizations used in clinical trials and other statistical analyses. The design of the package gives users a lot of flexibility to meet the analysis needs in a regulatory or exploratory reporting context.

For more information please explore the goshawk website.