Abstract
In the world where data has
become extremely important,
scientists require tools to
process large volumes of
data efficiently. R became
increasingly popular in
recent years for data
processing, statistical
analysis, and data science.
In this session we will
discuss tools that measure
the performance of an R
code, so that we can
understand the nature of
performance issues. We will
also describe techniques
that will improve the
computational speed of R
code. Basic knowledge of
programming in R will be
assumed.