Workshop material

Please download the following (zip) files before coming to the workshop

• Datasets to be used during the workshop. These include some text files containing datasets from the book SAS Programming in the Pharmaceutical Industry by Jack Shostak, as well as some binary format datasets.
• R Notebooks that can be opened in R Studio and used to follow along with the presentations. These are the source files for the handouts linked below.

Prerequisites

Participants should have the following software installed on their laptops:

• R from https://cran.r-project.org

• R Studio Desktop from https://rstudio.com/products/rstudio/

Additionally, install the sas7bdat package by running the following from R:

install.packages("sas7bdat")

If prompted to choose a mirror, choose the first one from the list.

R comes with a vast library of add-on packages which substantially enhance the R ecosystem. We will deliberately avoid using such packages in this introductory workshop, and stick to the “base + recommended” packages that come with a default installation of R.

The following additional packages are optional, but may be used for illustration.

install.packages(c("emmeans", "ggplot2", "latticeExtra", "knitr", "rmarkdown"))

Handouts

• An Overview of the R Programming Environment
• Basic usage of R
• Data manipulation and analysis
• Writing R Functions
• Introduction to R Graphics
• Case studies

• The official R website
• R Studio website
• R certification documents
• A presentation on using R for clinical research
• The SASxport package on CRAN (for reading / writing SAS xport format files)
• The sas7bdat package on CRAN (for reading SAS7BDAT files)
• A document describing the early history and evolution of the S language (on which R is based)