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

library(deepdep)

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

head(dd)

##    origin      name  version    type origin_level dest_level
## 1 ggplot2       cli     <NA> Imports            0          1
## 2 ggplot2      glue     <NA> Imports            0          1
## 3 ggplot2    gtable >= 0.1.1 Imports            0          1
## 4 ggplot2   isoband     <NA> Imports            0          1
## 5 ggplot2 lifecycle  > 1.0.1 Imports            0          1
## 6 ggplot2      MASS     <NA> Imports            0          1

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)

##    origin       name  version    type last_day last_week last_month last_quarter last_half grand_total origin_level dest_level
## 1 xgboost     Matrix >= 1.1-0 Imports     5669     78043     317730      1030313   2307023    10546730            0          1
## 2 xgboost data.table >= 1.9.6 Imports    21766    196875     768217      2494588   5294010    43848884            0          1
## 3 xgboost   jsonlite   >= 1.0 Imports    19405    249759    1048356      3110597   7056167    68812509            0          1

plot_downloads(dd_xgboost)

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