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Contributing Authors:

Ching-Ti Liu, PhD, Associate Professor, Biostatistics

Jacqueline Milton, PhD, Clinical Assistant Professor, Biostatistics

Avery McIntosh, doctoral candidate


Why Learn R?

  1. It's free!
  2. It is a new, cutting edge tool for biostatistics.
  3. Many authors are using R and reporting their results in the context of R.
  4. Online support and resources are readily available for R
  5. It is highly extendable; it providing:

- Interactive Web Search

- Use in Unix environments for scientific computing: BU Secure Computing Cluster (SCC)

- Ability to be used in conjunction with Python, SAS, Excel, , JAGS, OpenBUGS, others

This introductory module will provide:

  1. An Introductory R Session
  2. R as a Calculator
  3. Import, export and manipulate datasets
  4. Getting Help and Loading Packages

Learning Objectives

By the end of this session students will be able to:

  1. Identify the components of the R interface for Windows
  2. Conduct standard arithmetic calculation: both numerical and matrix
  3. Import, export and manipulate datasets
  4. Access R help and load packages in R