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| + | Test: timestamp is 2020-09-16 04:19:42 |
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| − | <div class="resource">
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| − | <div class="name">[https://en.wikipedia.org/wiki/R_(programming_language) '''R''' on Wikipedia]</div>
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| − | <div class="content">Wikipedia article on the R statistics environment and programming language.</div>
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| − | </div>
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| − | <div class="name">[http://www.r-project.org/ The '''R project''']</div>
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| − | <div class="content">Homepage of R for development, resources and, most importantly, download of code and documentation.</div>
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| − | </div>
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| − | <div class="resource">
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| − | <div class="name">[http://www.rstudio.com/ide/ The '''R Studio''' IDE]</div>
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| − | <div class="content">The IDE (Integrated Development Environment) that is the ''de facto'' standard for R programming and the development of code, projects, packages, and documentation.</div>
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| − | </div>
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| − | <div class="name">[http://cran.r-project.org/ '''CRAN''']</div>
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| − | <div class="content">The Comprehensive R Archive Network</div>
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| − | </div>
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| − | <div class="resource">
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| − | <div class="name">[http://www.bioconductor.org/ The '''Bioconductor project''' homepage]</div>
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| − | <div class="content">BioConductor is a bit like CRAN for bioinformatics and computational biology. The most important computational advances in our field are available from here. There is a special focus on high-throughput analysis, and a specific mental model of how data, code and workflows all come together.</div>
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| − | </div>
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| − | <div class="name">[http://www.r-bloggers.com/ '''R''' bloggers]</div>
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| − | <div class="content">A digest of new blog-posts on R - from the introductory to the highly advanced. Sent out once every day or two. Really worthwhile subscription.</div>
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| − | </div>
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| − | <div class="resource">
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| − | <div class="name">[http://blog.revolutionanalytics.com/2017/01/cran-10000.html Package finding strategies]</div>
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| − | <div class="content">(Revolutions Analytics Blog)</div>
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| − | </div>
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| − | <div class="resource">
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| − | <div class="name">[https://www.datacamp.com/community/tutorials/r-packages-guide Intro to R packages]</div>
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| − | <div class="content">(at DataCamp)</div>
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| − | </div>
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| − | <div class="resource">
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| − | <div class="name">[https://stackoverflow.blog/2017/10/10/impressive-growth-r/ "The Impressive Growth of R"]</div>
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| − | <div class="content">(Stackoverflow Data Analytics Team Blog)</div>
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| − | </div>
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| − | <div class="resource">
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| − | <div class="name">[http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1005871 '''Ten simple rules''' for biologists learning to program]</div>
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| − | <div class="content">Carey and Papin advise novice biologist programmers how to begin. Much of this paper resonates well with our Introduction to R learning units. Good context for a beginning, to get a sense of where we are going with this.</div>
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