Finding the consensus classification using anonymous functions (CC284)

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

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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