Introduction to R

This is a one day intensive course on basics and fundamental concepts of R. The course is structured as a set of lecture sessions and computer practicals. It is suitable to a wide range of participants e.g., statisticians, biologists, clinicians and postgraduate students.

No prior programming knowledge is assumend.

Course outline

• What is R?: A brief overview of the concepts and features of the R statistical programming environment.
• Help systems in R: A description of how to use different sources of R help.
• Data types: A brief introduction to different data types in R including numeric, complex, character, factor and logical data.
• Data structure: A summary of R’s data structure including vectors, matrices, arrays, data frames and lists.
• Importing data: Describing how to import, edit, save and export data of different formats from R including Excel, SPSS, STATA and SAS data files.
• Data manipulation: A description of how to use logical operators to manipulate data.
• Missing values: Describing how R handles missing values.
• Visualisation: Creating, editing and saving graphics in various formats using R.

Presenter

Dr. Osama Mahmoud, Senior Research Associate (Research Statistician), School of Social and Community Medicine, University of Bristol, UK.

Installing the R package (Temporarily Unavailable!)

The R package associated with this course is hosted by the drat repository. Installing the package can be simply done by running the following code lines into your R session.

install.packages("drat")
drat::addRepo("statcourses")
install.packages("sscmRintro", type="source")

The package can then be loaded via

library("sscmRintro")