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<meta name="author" content="Gabriel Nakamura" />
<meta name="date" content="2024-07-16" />
<title>Containers</title>
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<h1 class="title toc-ignore">Containers</h1>
<h4 class="author">Gabriel Nakamura</h4>
<h4 class="date">2024-07-16</h4>
</div>
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<div id="apresentação" class="section level1">
<h1>Apresentação</h1>
<p>Essa seção vai tratar de ferramentas que estão no horizonte do
processo de reprodutibilidade computacional, por isso não entraremos a
fundo nestes assuntos, visto que a documentação para as ferramentas que
serão apresentadas aqui ainda é escassa, vou apresentar apenas os
conceitos e as principais fontes onde mais informações podem ser
adquiridas</p>
</div>
<div id="containers" class="section level1">
<h1>Containers</h1>
<p>Os containers são ambientes fechados que contém todas as informações
necessárias para reprodução de uma rotina de análises (um pacote, uma
projeto, etc.). Os containers não só empacotam os dados e scripts
necessários, mas também todo o ambiente computacional necessário para as
análises (versões de pacotes, sistema operacional, etc.)</p>
</div>
<div id="como-gerar-containers-usando-o-r" class="section level1">
<h1>Como gerar containers usando o R</h1>
<p>Para utilizarmos containers usando o R a melhor ferramenta disponível
é o pacote <a
href="https://ropensci.org/blog/2014/10/23/introducing-rocker/">Rocker</a>.
O Rocker se utiliza de um outro aplicativo chamado Docker, que por sua
vez é responsável por formar os containers.</p>
<p>Os containers são <strong>imagens</strong>, na linguagem da
computação, que armazenam toda informação necessária para reproduzir as
análises.</p>
<p><a
href="https://ropensci.org/blog/2014/10/23/introducing-rocker/">Neste
site você pode encontrar um tutorial para Rocker</a></p>
</div>
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