High-performance container datatypes for R
d <- read.dcf("DESCRIPTION")
title <- d[colnames(d) == "Title"]
cat(c("# ", paste(trimws(strsplit(title, "\n")[[1]]), collapse = " ")))
Github: https://github.com/randy3k/collections
Documentation: https://randy3k.github.io/collections/
cat(d[colnames(d) == "Description"])
You can install the released version of collections from CRAN with:
install.packages("collections")
Install the latest development version using
devtools::install_github("randy3k/collections")
library(collections, warn.conflicts = FALSE)
Queue
q <- queue()
q$push(1)$push(2)
q$pop()
Stack
s <- stack()
s$push(1)$push(2)
s$pop()
Deque
dq <- deque()
dq$push(1)$pushleft(2)
dq$pop()
Priority Queue
pq <- priority_queue()
pq$push("not_urgent")
pq$push("urgent", priority = 2)
pq$push("not_as_urgent", priority = 1)
pq$pop()
pq$pop()
pq$pop()
Dictionary. Comparing to R envrionments, dict()
does not leak memory and supports various other types of keys.
d <- dict()
e <- new.env()
d$set(e, 1)$set(sum, 2)$set(c(1L, 2L), 3)
d$get(c(1L, 2L))
Ordered Dictionary
d <- ordered_dict()
d$set("b", 1)$set("a", 2)
d$as_list()