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.
The package provides several functions to create graphs used for clinical trials and other statistical analyses.
data visualizations:
data tables:
data brushing:
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
.
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.
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.
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.