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R Workshops

 

Location:  Instruction Room of the Map and Data Centre in Weldon Library

 

Introduction to R - February 18 or 19

 Introduction to R is a 3-hour workshop introducing basic programming concepts in R and learning to execute data manipulations, calculations, statistical analyses, and produce useful graphs and numeric summaries.  Participants will also learn to write simple functions that can be used to automate analyses and examine the use of R packages to expand R’s basic capabilities.  

 

No prior programming knowledge is necessary. The workshop is hands-on and participants will follow along with all of the coding. Participants are strongly encouraged to bring their own computers, but please ensure that both R and RStudio are installed. R is the programming language itself and must be installed first (https://cran.r-project.org/). RStudio Desktop provides a more friendly programming environment and is used in conjunction with R (https://www.rstudio.com/products/rstudio/download/).

 

Intermediate R - February 20

Intermediate R is a 4-hour workshop where we will work through example analyses from start to finish. This includes preparing and cleaning data, plotting, modelling (t-tests, linear models, logistic regression, etc.), and presentation. As we go, we will discuss the way R handles different symbols, syntax, functions, and arguments. Understanding these concepts will allow the user to expand their usage of R more quickly and extend their knowledge to new situations. We will also stress the importance of good coding habits, effective use of graphical methods, and using help files. Participants will follow along with all of the coding and leave the workshop with a file that can be easily modified to fit many different situations. 

 

This workshop is suitable for people with a basic understanding of R (basic use of data frames, vectors, lists, etc). Attending the Introduction to R Workshop is sufficient to prepare you for this one. Participants are strongly encouraged to bring their own computers, but please ensure that both R and RStudio are installed.  R is the programming language itself and must be installed first (https://cran.r-project.org/). RStudio Desktop provides a more friendly programming environment and is used in conjunction with R (https://www.rstudio.com/products/rstudio/download/).

 



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