![]() This first module in the series, Getting Started with R and RStudio, introduces R and RStudio, and will endeavour to leave participants at a stage where they understand the basics of the language and can comfortably use it to manipulate data and display it graphically in appropriate ways. ![]() Subject to successful completion, eligible participants will receive credit towards the Elective Component requirements of RD7003 Professional Development, as outlined below. Each of the “live” tutorials delivered in each module will discuss any difficulties experienced by participants and make sure that people can handle the exercise problems. Each module in the series provides a walk-through self-paced tutorial with code, output, and examples that participants are expected to execute for themselves to produce appropriate output, plus exercises that use and reinforce the skills demonstrated in the examples. R is first and foremost a computer language, and learning to use it well – like learning any language – takes practice. More details on these modules will be provided later this year. These later modules assume familiarity with the material in the first two, but participants can otherwise pick and choose to suit their needs. The remaining modules will cover a variety of more advanced statistical programming techniques that are frequently required by researchers. The second module will cover the kinds of statistical techniques normally covered in an introductory statistics course, and how to execute them in R. ![]() The first module in the series is an introduction to R and RStudio and how to use them. Data analysis and presentation using R and RStudio comprises a series of modules that are designed to build participants’ capacity to handle, describe, display and analyse research data using the free software R and the environment where R is most often run – RStudio.
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