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Beginning R - An Introduction to Statistical Programming (Paperback, 2nd ed.)
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Beginning R - An Introduction to Statistical Programming (Paperback, 2nd ed.)
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Beginning R, Second Edition is a hands-on book showing how to use
the R language, write and save R scripts, read in data files, and
write custom statistical functions as well as use built in
functions. This book shows the use of R in specific cases such as
one-way ANOVA analysis, linear and logistic regression, data
visualization, parallel processing, bootstrapping, and more. It
takes a hands-on, example-based approach incorporating best
practices with clear explanations of the statistics being done. It
has been completely re-written since the first edition to make use
of the latest packages and features in R version 3. R is a powerful
open-source language and programming environment for statistics and
has become the de facto standard for doing, teaching, and learning
computational statistics. R is both an object-oriented language and
a functional language that is easy to learn, easy to use, and
completely free. A large community of dedicated R users and
programmers provides an excellent source of R code, functions, and
data sets, with a constantly evolving ecosystem of packages
providing new functionality for data analysis. R has also become
popular in commercial use at companies such as Microsoft, Google,
and Oracle. Your investment in learning R is sure to pay off in the
long term as R continues to grow into the go to language for data
analysis and research.What You Will Learn: How to acquire and
install R Hot to import and export data and scripts How to analyze
data and generate graphics How to program in R to write custom
functions Hot to use R for interactive statistical explorations How
to conduct bootstrapping and other advanced techniques
General
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