future
HoRM
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future
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Running Code in Parallel
Check out the future package: https://github.com/HenrikBengtsson/future
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What's faster: run simultaneously on multiple terminals, or run everything sequentially on one terminal?
If you're a fan of the tidyverse check out the furrr package, which is based on the future package. Let's you apply your map() functions in parallel very easily.
HoRM
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James Bond Film Dataset
- https://github.com/dsy109/HoRM
What are some alternatives?
seurat - R toolkit for single cell genomics
polished_example_apps - Example Apps for Polished
R-sharp - R# language is a kind of R liked vectorized language implements on .NET environment for the bioinformatics data analysis
mindr - an R package which converts markdown files (.md, .Rmd) into mindmaps (brainstorms)
hts - Hierarchical and Grouped Time Series
easystats - :milky_way: The R easystats-project
r2u - CRAN as Ubuntu Binaries
ggstatsplot - Enhancing {ggplot2} plots with statistical analysis 📊📣
openxlsx - openxlsx - a fast way to read and write complex xslx files
electricShine - Create Standalone Installable Shiny Apps
parsel - parallel execution of RSelenium
forecast - Forecasting Functions for Time Series and Linear Models