Package: data.table.threads 1.0.1

data.table.threads: Analyze Multi-Threading Performance for 'data.table' Functions

Assists in finding the most suitable thread count for the various 'data.table' routines that support parallel processing.

Authors:Anirban Chetia [aut, cre]

data.table.threads_1.0.1.tar.gz
data.table.threads_1.0.1.zip(r-4.7-any)data.table.threads_1.0.1.zip(r-4.6-any)data.table.threads_1.0.1.zip(r-4.5-any)
data.table.threads_1.0.1.tgz(r-4.6-any)data.table.threads_1.0.1.tgz(r-4.5-any)
data.table.threads_1.0.1.tar.gz(r-4.7-any)data.table.threads_1.0.1.tar.gz(r-4.6-any)
data.table.threads_1.0.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
data.table.threads/json (API)

# Install 'data.table.threads' in R:
install.packages('data.table.threads', repos = c('https://anirban166.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/anirban166/data.table.threads/issues

On CRAN:

Conda:

3.18 score 3 stars 1 scripts 407 downloads 3 exports 19 dependencies

Last updated from:9ddb2fd3df. Checks:7 WARNING, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develWARNING138
source / vignettesOK229
linux-releaseWARNING129
macos-releaseWARNING165
macos-oldrelWARNING160
windows-develWARNING76
windows-releaseWARNING72
windows-oldrelWARNING75
wasm-releaseOK100

Exports:addRecommendedEfficiencyfindOptimalThreadCountsetThreadCount

Dependencies:clicpp11data.tablefarverggplot2gluegtableisobandlabelinglifecyclemicrobenchmarkR6RColorBrewerrlangS7scalesvctrsviridisLitewithr