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  digest     <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    MASS     <NA> Imports            0          1
## 6 ggplot2    mgcv     <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    10823     53203     181582       405632    727125     6920925            0          1
## 2 xgboost data.table >= 1.9.6 Imports    27530    192739     830277      2680986   4693176    31662141            0          1
## 3 xgboost   jsonlite   >= 1.0 Imports    29113    198194     962410      3141085   6611507    51949816            0          1

plot_downloads(dd_xgboost)

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