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r2r

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r2r provides a flexible implementation of hash tables in R, allowing for:

Installation

You can install the development version of r2r from GitHub with:

# install.packages("devtools")
devtools::install_github("vgherard/r2r")

Usage

library(r2r)
m <- hashmap()

# Insert and query a single key-value pair
m[[ "user" ]] <- "vgherard"
m[[ "user" ]]
#> [1] "vgherard"

# Insert and query multiple key-value pairs
m[ c(1, 2, 3) ] <- c("one", "two", "three")
m[ c(1, 3) ]
#> [[1]]
#> [1] "one"
#> 
#> [[2]]
#> [1] "three"

# Keys and values can be arbitrary R objects
m[[ lm(mpg ~ wt, mtcars) ]] <- c(TRUE, FALSE, TRUE)
m[[ lm(mpg ~ wt, mtcars) ]]
#> [1]  TRUE FALSE  TRUE

Getting help

For further details, including an introductory vignette illustrating the features of r2r hash maps, you can consult the r2r website. If you encounter a bug, want to suggest a feature or need further help, you can open a GitHub issue.

Comparison with hash

CRAN package {hash} also offers an implementation of hash tables based on R environments. The two tables below offer a comparison between {r2r} and {hash} (for more details, see the benchmarks Vignette)

Feature r2r hash
Basic data structure R environment R environment
Arbitrary type keys X
Arbitrary type values X X
Arbitrary hash function X
Arbitrary key comparison function X
Throw or return default on missing keys X
Hash table inversion X

Features supported by {r2r} and {hash}.

Task Comparison
Key insertion {r2r} ~ {hash}
Key query {r2r} < {hash}
Key deletion {r2r} << {hash}

Performances of {r2r} and {hash} for basic hash table operations.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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