![]() ![]() ![]() Type " Data Fluency" or the software your are interested in (eg.Log into myDevelopment from your myMonash portal.Alternatively, staff and graduate research students can search for upcoming Data Fluency workshops on myDevelopment: To browse our upcoming workshops, please see our Events page. This aligns with myPlan and training records for staff, and enables more streamlined processes for assigning credit towards the Monash Doctoral Program for Graduate Research students. Workshop registration is available through myDevelopment. Our workshops are open to all Monash University research and professional staff, and graduate research students (PhD and Masters by Research). Programming and Tidy Data Analysis in R.Having attended an introductory workshop, you will be ready to attend further workshops on specialised topics: You should start with our introductory workshop: R events run regularly throughout the year. R can also be tried online with RStudio Cloud. R and RStudio can be installed by Monash students and staff via MySoftware on Windows or the Self Service app on macOS. We recommend also using RStudio, which provides a friendly interface with which to use R. R is available free from the R Project website. One of R’s strengths is the ease with which well-designed publication-quality plots and graphs can be produced. ![]() R provides a wide variety of statistical features (classical statistical tests, linear and nonlinear modelling, time-series analysis, survival analysis, classification, clustering, …) and graphical capabilities, and is highly extensible, meaning that users or developers can add to its capabilities. R is open source software and freely available, and is a popularly used tool for statisticians and data scientists. R is a programming language and environment for working with data, with flexible tools for readying a dataset for analysis, creating multi-faceted visualizations, and fitting models or performing statistical tests on it. ![]()
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