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 ...
R packages are great for organizing your own work, not only sharing with others. See how to create an R package in a few simple steps, thanks to packages like devtools, usethis, and roxygen2 When you ...
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 ...
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 ...
Make your R data.table code more efficient and elegant with these special symbols and operators. Plus, learn about the new fcase() function R data.table code becomes more efficient — and elegant — ...
C# developers who want to wring more meaningful info from large sets of data should get cozy with the statistical computing language known as R. Let's get familiar with R in this new series. The R ...