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Books > Science & Mathematics > Biology, life sciences
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Using R and RStudio for Data Management, Statistical Analysis, and Graphics (Paperback, 2nd edition)
Loot Price: R1,591
Discovery Miles 15 910
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Using R and RStudio for Data Management, Statistical Analysis, and Graphics (Paperback, 2nd edition)
Expected to ship within 10 - 15 working days
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Improve Your Analytical Skills Incorporating the latest R packages
as well as new case studies and applications, Using R and RStudio
for Data Management, Statistical Analysis, and Graphics, Second
Edition covers the aspects of R most often used by statistical
analysts. New users of R will find the book's simple approach easy
to understand while more sophisticated users will appreciate the
invaluable source of task-oriented information. New to the Second
Edition The use of RStudio, which increases the productivity of R
users and helps users avoid error-prone cut-and-paste workflows New
chapter of case studies illustrating examples of useful data
management tasks, reading complex files, making and annotating
maps, "scraping" data from the web, mining text files, and
generating dynamic graphics New chapter on special topics that
describes key features, such as processing by group, and explores
important areas of statistics, including Bayesian methods,
propensity scores, and bootstrapping New chapter on simulation that
includes examples of data generated from complex models and
distributions A detailed discussion of the philosophy and use of
the knitr and markdown packages for R New packages that extend the
functionality of R and facilitate sophisticated analyses
Reorganized and enhanced chapters on data input and output, data
management, statistical and mathematical functions, programming,
high-level graphics plots, and the customization of plots Easily
Find Your Desired Task Conveniently organized by short, clear
descriptive entries, this edition continues to show users how to
easily perform an analytical task in R. Users can quickly find and
implement the material they need through the extensive indexing,
cross-referencing, and worked examples in the text. Datasets and
code are available for download on a supplementary website.
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