Transparency and reproducibility are fundamental principles in data analysis across various fields, from academic
research to industry applications. The ggcall
package enhances the functionality of ggplot2
by enabling users to retrieve the complete code used to generate a ggplot
object inside a function. This package is beneficial for understanding and replicating complex ggplot2
plots returned by a function. From technical point of view, ggcall
extends ggplot2
+
operator and ggplot
function to track the history of plot construction.
ggcall
makes a developer's life easier and limits the need to use base r metaprogramming or rlang
.
patchwork
ggplot2 related operators like +
, -
, *
, |
, &
and /
are optionally supported.
patchwork
is a package that expands the API to allow for arbitrarily complex composition of plots by,
among others, providing mathematical operators for combining multiple plots.
An excellent implementation example is to create a bunch of ggplot templates, and we want them to be functions. Then, each template will generate the expected plot, and the ggplot2 code behind is easy to get.
The ggcall_example repository contains a simple implementation of ggcall.
forest_plot
and barbell
functions are a part of ggcall.example
package.
Typically, it will be a function returning ggplot2
object from your own R package where you implemented ggcall
.
remotes::install_github("https://github.com/Polkas/ggcall_example")
library(ggcall.example)
# Print the body of the function
forest_plot
df <- data.frame(
Treatment = c("Treatment A", "Treatment B", "Treatment C"),
Estimate = c(0.2, 0.5, -0.1),
CI_lower = c(0.1, 0.3, -0.3),
CI_upper = c(0.3, 0.7, 0.1)
)
# Call the function, gg_plot is a ggplot object
gg_forest <- forest_plot(df, "Estimate", "CI_lower", "CI_upper", "Treatment")
gg_plot
# Retrieve the plot construction code
call_forest <- ggcall(gg_plot)
# Optionally: Style the code with styler
# install.packages("styler")
styler::style_text(paste(deparse(call_forest), collapse = "\n"))
# Optionally: add assignments to call
styler::style_text(paste(deparse(ggcall_add_assignments(call_forest)), collapse = "\n"))
# Optionally: reevaulate the call
eval_ggcall(call_forest)
The ggcall can be implemented as a standalone solution.
A "standalone" file implements a minimum set of functionality in such a way that it can be copied into another package.
usethis::use_standalone()
makes it easy to get such a file into your own repo/package and later update it if needed.
Example of standalone file in another package, rlang
The usethis
>= 2.2.0 is required.
install.packages("usethis")
STANDALONE means copy paste the files and add dependencies to your own package.
Please create an R package if not having such yet.
usethis::create_package()
WITH patchwork
support
# Add ggplot2, patchwork as your package dependencies
# copy paste the ggcall.R file to your own package R directory
# copy paste the patchwork.R file to your own package R directory
usethis::use_standalone("polkas/ggcall", "patchwork.R", ref = "v0.3.3")
# you may need to update the files time to time with usethis::use_standalone
WITHOUT patchwork
support
# Add ggplot2as your package dependencies
# copy paste the ggcall.R file to your own package R directory
usethis::use_standalone("polkas/ggcall", "ggcall.R", ref = "v0.3.3")
# you may need to update the files time to time with usethis::use_standalone
GENERAL COMMENTS:
# Apply only if needed
# In your own code remove all ggplot2:: prefix-ing before ggplot function calls
# ggplot2::ggplot(...) -> ggplot(...)
# DO NOT import ggplot function from ggplot2
#' @rawNamespace import(ggplot2, except = c(ggplot))
# Combine ggcall +.gg operator with your own one if you already overwrited it in your package
# e.g. GGally package requires such step
# Consider moving the ggplot2 from DESCRIPTION Imports to Depends
# if your users will benefit from extending results with further layers
The solution is in the development and is expected not to work in specific situations.
Contributions to ggcall
are welcome. Please refer to the contribution guidelines for more information.