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Univariate, Bivariate, and Multivariate Statistics Using R - Quantitative Tools for Data Analysis and Data Science (Hardcover)
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Univariate, Bivariate, and Multivariate Statistics Using R - Quantitative Tools for Data Analysis and Data Science (Hardcover)
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A practical source for performing essential statistical analyses
and data management tasks in R Univariate, Bivariate, and
Multivariate Statistics Using R offers a practical and very
user-friendly introduction to the use of R software that covers a
range of statistical methods featured in data analysis and data
science. The author-- a noted expert in quantitative teaching --has
written a quick go-to reference for performing essential
statistical analyses and data management tasks in R. Requiring only
minimal prior knowledge, the book introduces concepts needed for an
immediate yet clear understanding of statistical concepts essential
to interpreting software output. The author explores univariate,
bivariate, and multivariate statistical methods, as well as select
nonparametric tests. Altogether a hands-on manual on the applied
statistics and essential R computing capabilities needed to write
theses, dissertations, as well as research publications. The book
is comprehensive in its coverage of univariate through to
multivariate procedures, while serving as a friendly and gentle
introduction to R software for the newcomer. This important
resource: Offers an introductory, concise guide to the
computational tools that are useful for making sense out of data
using R statistical software Provides a resource for students and
professionals in the social, behavioral, and natural sciences Puts
the emphasis on the computational tools used in the discovery of
empirical patterns Features a variety of popular statistical
analyses and data management tasks that can be immediately and
quickly applied as needed to research projects Shows how to apply
statistical analysis using R to data sets in order to get started
quickly performing essential tasks in data analysis and data
science Written for students, professionals, and researchers
primarily in the social, behavioral, and natural sciences,
Univariate, Bivariate, and Multivariate Statistics Using R offers
an easy-to-use guide for performing data analysis fast, with an
emphasis on drawing conclusions from empirical observations. The
book can also serve as a primary or secondary textbook for courses
in data analysis or data science, or others in which quantitative
methods are featured.
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