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Adding built in data to an R package (CC294)

Including data in a package can be useful way to help demonstrate the utility of your R package as well as a convenient way to give your users what they need to run your functions. In this Code Club, Pat shows how to use the {devtools} tools to create two datasets that will potentially ship with his {phylotypr} R package. Along the way, he'll discuss file compression, documentation, and file sizes. This episode is part of an ongoing effort to develop an R package that implements the naive Bayesian classifier. If you want to get a physical copy of R Packages: https://amzn.to/43pMR8L If you want a free, online version of R packages: https://r-pkgs.org/ You can find my blog post for this episode at https://www.riffomonas.org/code_club/.... Check out the GitHub repository at the: * Beginning of the episode: https://github.com/riffomonas/phyloty... * End of the episode: https://github.com/riffomonas/phyloty... #rstats #readr #vroom #data.table #read.delim #rdp #16S #classification #classifier #microbialecology #microbiome Support Riffomonas by becoming a Patreon member!   / riffomonas   Want more practice on the concepts covered in Code Club? You can sign up for my weekly newsletter at https://shop.riffomonas.org/youtube to get practice problems, tips, and insights. If you're interested in purchasing a video workshop be sure to check out https://riffomonas.org/workshops/ You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ 0:00 Introduction 3:59 Creating data to be exported 10:51 Compressing data 14:07 Writing documentation for dataset 21:46 Passing "check" 23:11 Creating another dataset 28:30 Updating vignette to use trainset19

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