by | Released November 2014 | ISBN: 978149192088

Modern data analysis requires that you have two jobs: being a statistician and being a programmer. This is especially true with R, where pointing and clicking to analyze data is mostly not an option.Fortunately, the jump from "writing code like a statistician" to "being a statistical programmer" isn't that far. This webcast covers a few simple skills that will get you started, including:Writing stylish code.Finding bad functions with the sig package.Writing robust code with the assertive package.Testing your code with the testthat package.Documenting your code with the roxygen2 package. Show and hide more

1. Writing Great R Code 00:59:13
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