A simple little module for passing data from NodeJS to R (and back again).
TypeScript definitions for r-script
A simple little module for passing data from NodeJS to R (and back again).
A simple little module for passing data from NodeJS to R (and back again). Panapps customized version of r-script package for WBG-metadata-editor.
👉 https://hyper.fun/c/carbon-icon-logo-r-script/1.3.0
Recursive matching plugin for Regex+
An extension of svg.js which allows to select elements with mouse
Sealights Node.js Agent
A simple little module for passing data from NodeJS to R (and back again).
like `chown -R`
调用 r-script 编译 bookdown 项目
High-performance 2D spatial index for rectangles (based on R*-tree with bulk loading and bulk insertion algorithms)
rrweb's component to take a snapshot of DOM, aka DOM serializer
Encode and decode base64 encoded strings
Module for running R scripts from node
A simple parser/writer for the Session Description Protocol
The open source javascript graphing library that powers plotly
Streaming Boyer-Moore-Horspool searching for node.js
Compare strings containing a mix of letters and numbers in the way a human being would in sort order.
The modern CSS-in-JS library
Trim newlines from the start and/or end of a string
Private npm registry access for BB Pipelines builds
The modern CSS-in-JS library
A cron-like and not-cron-like job scheduler for Node.
A CLI wrapper around aider to make calling reusable prompts convenient
AirScript language compiler
Core types for the AirScript compiler
ReScript grammar for arborium (tree-sitter bindings)
A tool to parse and convert avro schema to arbitrary types.
WIP
Ergonomic wrapper for DuckDB
Linker script for embedded-test
Sandboxed QuickJS scripting engine for ferridriver. Runs JS scripts against Page/Browser/Context with bound args, per-call isolation, scoped fs, and structured errors.
A minimal C-style scripting language interpreter
HeroScript - A defensive configuration language for safe system orchestration
The script managing tool for script lovers
you should check out rsruby first. This is a very low-tech way to run R. It does have the advantage of being able to run R code essentially unchanged.
Makes Rmd text into R comments and unfences code chunks
RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written to handle any R or Ruby class.
RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written to handle any R or Ruby class.
RSRuby is a bridge library for Ruby giving Ruby developers access to the full R statistical programming environment. RSRuby embeds a full R interpreter inside the running Ruby script, allowing R methods to be called and data passed between the Ruby script and the R interpreter. Most data conversion is handled automatically, but user-definable conversion routines can also be written to handle any R or Ruby class.
RinRuby is a Ruby library that integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby. The library consists of a single Ruby script that is simple to install and does not require any special compilation or installation of R. Since the library is 100% pure Ruby, it works on a variety of operating systems, Ruby implementations, and versions of R. RinRuby's methods are simple, making for readable code. The {website [rinruby.ddahl.org]}[http://rinruby.ddahl.org] describes RinRuby usage, provides comprehensive documentation, gives several examples, and discusses RinRuby's implementation.
use in conjunction with https://github.com/yushen/tflogr, run rails r script/webminer_script.rb
RinRuby is a Ruby library that integrates the R interpreter in Ruby, making R's statistical routines and graphics available within Ruby. The library consists of a single Ruby script that is simple to install and does not require any special compilation or installation of R. Since the library is 100% pure Ruby, it works on a variety of operating systems, Ruby implementations, and versions of R. RinRuby's methods are simple, making for readable code. The {website [rinruby.ddahl.org]}[http://rinruby.ddahl.org] describes RinRuby usage, provides comprehensive documentation, gives several examples, and discusses RinRuby's implementation.
Galaaz brings the power of R to the Ruby community. Galaaz is based on TruffleRuby and FastR, GraalVM-based interpreters for Ruby and the R language for statistical computing respectively. Over the past two decades, the R language for statistical computing has emerged as the de facto standard for analysts, statisticians, and scientists. Today, a wide range of enterprises – from pharmaceuticals to insurance – depend on R for key business uses. FastR is a new implementation of the R language and environment for the Graal Virtual Machine. Galaaz tightly couples Ruby and R and allows the use of R inside a Ruby script. In a sense, Galaaz is similar to other solutions such as RinRuby, Rpy2, PipeR, and reticulate (https://blog.rstudio.com/2018/03/26/reticulate-r-interface-to-python/). However, since Galaaz couples TruffleRuby and FastR that both target the JVM there is no need to integrate both solutions and there is no need to send data between Ruby and R, as it all resides in the same VM. Further, installation of Galaaz does not require the installation of GNU R. When installing GraalVM, just install TruffleRuby and FastR.
A few graphic scripts can load below. No need "gruff". You can use "gnuplot","R",or some useful graphic aplications.) require "agri-controller/gruff"
Ruby script for data-mining biostars.org using web-crawling techniques as well as utilizing the Biostars RESTful API. Statistical analysis requires R (http://www.r-project.org).
StatSailr is a Ruby program that enables users to manipulate data and to apply statistical procedures in an intuiitive way. Internally, StatSailr converts StatSailr script into R's internal representation via Ruby, and executes it.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.
No description provided.