April 2025
Intermediate to advanced
578 pages
13h 35m
Portuguese (Portugal, Brazil)
Content preview from R for Data Science, 2ª Edição
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Capítulo 27. Um guia de campo para a Base R
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Introdução
Para terminar a secção de programação, vamos fazer-te uma visita rápida às funções base do R mais importantes que não são abordadas no livro. Estas ferramentas são particularmente úteis à medida que vais fazendo mais programação e vão ajudar-te a ler o código que encontras na natureza.
Este é um bom lugar para te lembrar que o tidyverse não é a única forma de resolver problemas de ciência de dados. Ensinamos o tidyverse neste livro porque os pacotes tidyverse partilham uma filosofia de design comum, aumentando a consistência entre funções e tornando cada nova função ou pacote um pouco mais fácil de aprender e utilizar. Não é possível utilizar o tidyverse sem utilizar o R de base, por isso já te ensinámos muitas funções do R de base, incluindo library() para carregares pacotes; sum() e mean() para resumos numéricos; os tipos de dados fator, data e POSIXct; e, claro, todos os operadores básicos, como +, -, /, *, |, &, e !. O que não focámos até agora foram os fluxos de trabalho básicos do R, por isso vamos destacar alguns deles neste capítulo.
Depois de leres este livro, vais aprender outras abordagens para os mesmos problemas usando o R base, data.table e outros pacotes. Vais, sem dúvida, encontrar estas outras abordagens quando começares a ler código R escrito por outros, particularmente se estiveres a usar ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.