Read Why exercise and Celebrating our 100th Exercise Set to better understand our philosophy. New exercise sets are added on a daily basis. Start Here To Learn R Booksįor an even better experience, we recommend our Start Here to Learn R books. Of course, those of you who are familiar with R already, can jump straight to any of the topics below. Once you’ve managed to work through all exercise sets, from top to bottom, you should have a fair amount of knowledge of, and practical experience with, using R. If you’re completely new to R, we suggest you simply start with the first topic, “Vectors”. Start at the beginning, or anywhere you want In order to give you a full picture of all the amazing content on this website, we’ve categorized all sets into broader topics below. An exercise set typically contains about 10 exercises, progressing from easy to somewhat more difficult. We’ve bundled them into exercise sets, where each set covers a specific concept or function. View the workshop lesson plan here: Data Analysis with RStudio.On R-exercises, you will find more than 4,000 R exercises. Optional – FREE e-book “R in Action” Uvic online library: įind our current list of scheduled workshops on our Workshops page.Bookmark or print this Reference table of useful R commands + examples (4 min):.What is R used for? Introduction to RStudio basics (5 min):.
Before attending the orientation, please go to the following webpage and watch two short instructional videos and the R and RStudio software on your laptop: No programming skills are required for this workshop just an interest and/or a desire to learn. Creating basic R plots using the “plot” command.Creating loops and introducing “For” statement.Manipulate matrix and descriptive statistics using the “summary” command.Extracting data frame and matrix elements.Creating lists and tables (aka: matrices from vectors).Installing packages, importing and exporting data.Are you a UVic student or Staff member and want to learn more about statistical and data analysis using RStudio? Are you a graduate student wondering how you’re going to analyze your research data? If so, then this hands-on workshop will give you an introduction to RStudio, which is a free and open-source tool for analyzing and visualizing your data. Once you’ve completed this session you’ll be able to:
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