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Showing content from https://github.com/rpahl/container below:

rpahl/container: Extends the functionality of base R list and provides specialized data structures deque, set, dict, and dict.table, the latter to extend the data.table package.

The {container} package offers an enhanced version of base R’s list with a carefully designed set of extract, replace, and remove operations that make it easier and safer to work with list-like data structures.

{container} objects work similar to base R lists and on top provide

• safe and flexible operations to
  • extract (custom default values, no unintended NULL)
  • add and replace (mixed indices, no unintended overrides)
  • remove (loose or strict deletion, remove by index or value)
• compact printing
• optional reference semantics

In addition, {container} provides specialized data structures Deque, Set, and Dict and a special class dict.table, designed to extend data.table by container operations to safely Manage data columns with dict.table.

# Install release version from CRAN
install.packages("container")

# Install development version from GitHub
devtools::install_github("rpahl/container")

library(container)
co <- container(colors = c("Red", "Green"), numbers = c(1, 2, 3), data = cars)

co
# [colors = ("Red" "Green"), numbers = (1 2 3), data = <<data.frame(50x2)>>]

Use like a base R list

co[["colors"]] <- c("Blue", "Yellow")

co[["colors"]]
# [1] "Blue"   "Yellow"

co[2:1]
# [numbers = (1 2 3), colors = ("Blue" "Yellow")]

Safe extract

at(co, "colours")   # oops
# Error: index 'colours' not found

at(co, "colors")
# [colors = ("Blue" "Yellow")]

Safe remove

co <- delete_at(co, "colours")   # oops
# Error: names(s) not found: 'colours'

co <- delete_at(co, "colors")
co
# [numbers = (1 2 3), data = <<data.frame(50x2)>>]

Flexible peek

at(co, "colors")   # oops
# Error: index 'colors' not found

peek_at(co, "colors")
# []

peek_at(co, "colors", .default = c("black", "white"))
# [colors = ("black" "white")]

Safe replace

co <- replace_at(co, num = 1:10)   # oops
# Error: names(s) not found: 'num'

co <- replace_at(co, numbers = 1:10)
co
# [numbers = (1L 2L 3L 4L ...), data = <<data.frame(50x2)>>]

• Use container in interactive session
• Use container for code development
• Manage parameter lists with dict
• Manage data columns with dict.table

Don’t bother using the {container} framework when speed is of high importance. An exception is the dict.table class, which is very fast as it is based on data.table. Other than that, if computation speed is critical for your application, we refer you to using base R lists or packages that were optimized for performance, such as the collections or cppcontainers package.

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