In DominikRafacz/deepdep: Visualise and Explore the Deep Dependencies of R Packages

Visualise and Explore Deep Dependencies of R Packages

Overview

The deepdep package provides tools for exploration of package dependencies. The main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way. It also adds some popularity measures for the packages e.g. in the form of download count through the cranlogs package. Uses the CRAN metadata database and Bioconductor metadata.

Exploration tools:

• deepdep()
• get_dependencies()
• get_downloads()
• get_description()

Visualisation tools:

• plot_dependencies()
• plot_downloads()
• deepdep_shiny() runs shiny application that helps to produce a nice deepdep plot

Installation

# Install from CRAN: 
install.packages("deepdep")

# Install the development version from GitHub:
devtools::install_github("DominikRafacz/deepdep")

Examples introduction to the deepdep package

options(width = 700)

library(deepdep)

dd <- deepdep("ggplot2", depth = 2)

head(dd)

plot_dependencies(dd, "circular")

plot_dependencies("bayes4psy", show_version = TRUE,
                  dependency_type = c("Depends", "Imports", "Suggests", "LinkingTo"))

dd_xgboost <- deepdep("xgboost", dependency_type = "Imports", downloads = TRUE)

head(dd_xgboost)

plot_downloads(dd_xgboost)

plot_dependencies(dd_xgboost, "tree", show_version = TRUE)

DominikRafacz/deepdep documentation built on Feb. 27, 2023, 3:39 p.m.