Description:

Watch the webcast recording

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.

About Richie Cotton

Richie is a data scientist with a mixed background in debt collection and chemical health and safety, and has worked extensively on tools to give non-technical users access to statistical models. He is the author of the R packages "assertive" for checking the state of your variables and "sig" to make sure your functions have a sensible API. He works for TDX Group and runs The Damned Liars statistics consultancy.

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