Almost every R user knows about popular packages like dplyr and ggplot2. But with 10,000+ packages on CRAN and yet more on GitHub, it’s not always easy to unearth libraries with great R functions. One ...

The three most common open source technologies for writing data science programs are Python, SciLab, and R. Here's how to write program-defined functions in R. There's no clear definition of the term ...

Let's explore factor analysis again, this time using the R ability to tap into OOP, but we won't use the RC model. The R language was created primarily to perform statistical analyses in an ...

Note the column name, mpg, is unquoted. That feature hasn’t been handy, though, if you want to write your own R functions using the tidyverse. That’s because base R functions usually need quoted ...

Before you start analyzing, you might want to take a look at your data object’s structure and a few row entries. If it’s a 2-dimensional table of data stored in an R data frame object with rows and ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to use an LLM to extract structured data for text filtering. One of the ...

R loops consist of RNA–DNA hybrids that accumulate at preferred regions all over the genome, such as pericentromeric DNA, telomeres, ribosomal DNA or transcription termination regions. R loops are an ...