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With 100 classification strings, we now need to find the consensus classification across those bootstrapped replicates. We'll make use of anonymous functions with the base R lapply and sapply functions. Of course we'll also make use of test driven development using the testthat package.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 #refactor #testthat #tdd #microbenchmark #vectors #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 3:37 Game plan for classifying unknown sequences 10:26 Developing test for consensus function 14:28 Writing code to find consensus (Part 1) 16:58 Developing and testing consensus helper 23:07 Writing code to find consensus (Part 2) Using real 16S rRNA gene sequence