1. Those outside higher education, or who do not have access to one of the
commonly used statistical packages such as Stata, SPSS or SAS (as R is free of
charge) but who would like to conduct their own analysis beyond what is usually
published by data producers such as the Office for National Statistics (for
example statistics for specific groups of the population).
2. More advanced users who are already familiar with one of the aforementioned
packages but would like to learn how to carry out their analyses in R. The
guide, therefore, focuses on providing step-by-step examples of common
operations most users carry out in the course of their research: how to open
data sets, do basic data manipulation operations, produce simple descriptive
statistics or weighted contingency tables. This is meant to provide the first
category of users with a range of procedures that will help them produce straightforward
and robust analyses tailored to their needs without spending too much time on
learning the inner workings of R. The second category of users will find a
number of familiar operations from which they will be able to further expand
their R skills.
It should be
noted however that this guide is not an introduction to R. Beginners should use
it in conjunction with one of the more comprehensive guides available online.
Links and information about R resources are available at the end of the guide,
which is available from http://www.esds.ac.uk/government/resources/analysis/
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