Rex - R

In the world of data science, Rex (short for R-linked Excel) is a powerful Excel add-in designed to bring the advanced analytical capabilities of the R programming language to a spreadsheet environment.

• Full tidyverse integration: Native dplyr translation without explicit rex_* functions.
• GPU acceleration: For matrix algebra and random forests.
• R-to-Rust transpilation: To achieve C-level speed with R-level safety.

• Data loading: Rex R is 10x slower for small data (due to overhead) but infinitely faster for large data (handles what R cannot).
• Grouped aggregations: Rex R performs 30x–50x faster on 100GB+ datasets compared to data.table running on a 128GB RAM machine (which crashes on 200GB).
• Linear algebra: For matrix operations exceeding 50,000 x 50,000, Rex R’s distributed BLAS libraries outperform base R by 200x.

What Exactly is "Rex R"?

To understand Rex R, we must first look at the "Rex" engine. Historically, Rex was an alternative parser and bytecode compiler for the R language. Traditional R (GNU R) evaluates code on the fly, often leading to slow loops and high memory overhead. Rex, initially developed by a team of high-performance computing experts, aimed to compile R code down to a faster intermediate representation. In the world of data science, Rex (short

Which of these do you want implemented now? If you want a different "rex r" (e.g., a function/class named rex_r or a non-R meaning), say which and I’ll proceed. Data loading: Rex R is 10x slower for

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