Newcomers to R are often intimidated by the command-line
interface, the vast number of functions and packages, or the
processes of importing data and performing a simple statistical
analysis. The R Primer provides a collection of concise examples
and solutions to R problems frequently encountered by new users of
this statistical software.
Rather than explore the many options available for every command
as well as the ever-increasing number of packages, the book focuses
on the basics of data preparation and analysis and gives examples
that can be used as a starting point. The numerous examples
illustrate a specific situation, topic, or problem, including data
importing, data management, classical statistical analyses, and
high-quality graphics production. Each example is self-contained
and includes R code that can be run exactly as shown, enabling
results from the book to be replicated. While base R is used
throughout, other functions or packages are listed if they cover or
extend the functionality.
After working through the examples found in this text, new users
of R will be able to better handle data analysis and graphics
applications in R. Additional topics and R code are available from
the book s supporting website at
www.statistics.life.ku.dk/primer/
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