dict_init: Initialize fast dictionary environment
In wagnius-GmbH/slvwagner: All Stuff that I`m Missing

dict_init

R Documentation

Initialize fast dictionary environment

Description

The reason for using dictionaries in the first place is performance. Although it is correct that you can use named vectors and lists for the task, the issue is that they are becoming quite slow and memory hungry with more data. Yet what many people don't know is that R has indeed an inbuilt dictionary data structure environments with the option hash = TRUE

Usage

dict_init(length)

Arguments

length

length of the environment, e.g. nrow(data_frame)

Details

https://blog.ephorie.de/hash-me-if-you-can

Value

A initialized environment that can be assigned with keys and values

Author(s)

Florian Wagner florian.wagner@wagnius.ch

Examples

df <- data.frame(key   = c("ch","se","de","it"),
                 value = c(41L,46L,49L,39L))
# initialize hash
hash = dict_init(nrow(df))
dict_assign_key_values(df$key, df$value, hash)
dict_get_values(c("ch", "it"), hash)

wagnius-GmbH/slvwagner documentation built on Jan. 19, 2025, 7:10 a.m.