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Books > Computing & IT > Computer programming > Programming languages
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Beginning R 4 - From Beginner to Pro (Paperback, 1st ed.)
Loot Price: R417
Discovery Miles 4 170
You Save: R517
(55%)
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Beginning R 4 - From Beginner to Pro (Paperback, 1st ed.)
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List price R934
Loot Price R417
Discovery Miles 4 170
You Save R517 (55%)
Expected to ship within 9 - 17 working days
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Learn how to use R 4, write and save R scripts, read in and write
out data files, use built-in functions, and understand common
statistical methods. This in-depth tutorial includes key R 4
features including a new color palette for charts, an enhanced
reference counting system (useful for big data), and new data
import settings for text (as well as the statistical methods to
model text-based, categorical data). Each chapter starts with a
list of learning outcomes and concludes with a summary of any R
functions introduced in that chapter, along with exercises to test
your new knowledge. The text opens with a hands-on installation of
R and CRAN packages for both Windows and macOS. The bulk of the
book is an introduction to statistical methods (non-proof-based,
applied statistics) that relies heavily on R (and R visualizations)
to understand, motivate, and conduct statistical tests and
modeling. Beginning R 4 shows the use of R in specific cases such
as ANOVA analysis, multiple and moderated regression, data
visualization, hypothesis testing, and more. It takes a hands-on,
example-based approach incorporating best practices with clear
explanations of the statistics being done. You will: Acquire and
install R and RStudio Import and export data from multiple file
formats Analyze data and generate graphics (including confidence
intervals) Interactively conduct hypothesis testing Code multiple
and moderated regression solutions Who This Book Is For Programmers
and data analysts who are new to R. Some prior experience in
programming is recommended.
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