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


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

# install.packages("devtools")


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) ]]

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.