Скачать с ютуб The tutorial you need to maximize your use of R's lists (CC276) в хорошем качестве

The tutorial you need to maximize your use of R's lists (CC276)

What is your preferred method for building a list in R? Do you know its performance characteristics relative to other methods and the size of the list? In this tutorial, Pat compares 12 methods of building lists and compares them to their parallel approach for generating vectors and shows how they compare to each other. He uses the microbenchmark package to evaluate their speed for different sized vectors. Rcpp, purrr, and the base and magrittr pipes will also make an appearance. You'll likely be surprised by the results! 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 #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 2:40 Review of atomic vector benchmarking 7:38 Converting functions to generate a list 17:55 Improving display of data 24:18 Evaluating methods of accessing data 25:46 Accessing list elements by name