R is a powerful, versatile, and free statistical programming language which has become increasingly popular among industrial and academic data analysts. This introductory course covers programming basics in R, including the definition and manipulation of data objects, loops, importing/exporting data, and simple data summaries. These concepts will be illustrated using both the Fisher Iris Data and also the National Longitudinal Mortality Survey. The classic Fisher Iris Data includes 150 records with four measurements on three species of flowers and will be used to illustrate the basic principles listed above. The power of R will then be demonstrated by performing similar operations on the National Longitudinal Mortality Survey, which includes nearly a million records with 38 measurements each. The course format includes lecture and computer laboratory components and attendees will have the opportunity to write, modify, and execute R codes for these data.
This introductory session is part of a three course series which assumes no previous coding experience in R or any other language. The intended audience for this course includes researchers who want to gain basic exposure to R with the ultimate goal of incorporating R into their research programs. More experienced users may wish to skip this course and attend subsequent courses on statistical and graphical techniques using R.
R can be downloaded here: www.r-project.org/
RStudio can be downloaded here: http://rstudio.org/download/desktop
LISA Short Course: Basics of R from LISA on Vimeo.