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Practical R 4 - Applying R to Data Manipulation, Processing and Integration (Paperback, 1st ed.)
Loot Price: R586
Discovery Miles 5 860
You Save: R1,012
(63%)
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Practical R 4 - Applying R to Data Manipulation, Processing and Integration (Paperback, 1st ed.)
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List price R1,598
Loot Price R586
Discovery Miles 5 860
You Save R1,012 (63%)
Expected to ship within 9 - 15 working days
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Get started with an accelerated introduction to the R ecosystem,
programming language, and tools including R script and RStudio.
Utilizing many examples and projects, this book teaches you how to
get data into R and how to work with that data using R. Once
grounded in the fundamentals, the rest of Practical R 4 dives into
specific projects and examples starting with running and analyzing
a survey using R and LimeSurvey. Next, you'll carry out advanced
statistical analysis using R and MouselabWeb. Then, you'll see how
R can work for you without statistics, including how R can be used
to automate data formatting, manipulation, reporting, and custom
functions. The final part of this book discusses using R on a
server; you'll build a script with R that can run an RStudio Server
and monitor a report source for changes to alert the user when
something has changed. This project includes both regular email
alerting and push notification. And, finally, you'll use R to
create a customized daily rundown report of a person's most
important information such as a weather report, daily calendar,
to-do's and more. This demonstrates how to automate such a process
so that every morning, the user navigates to the same web page and
gets the updated report. What You Will Learn Set up and run an R
script, including installation on a new machine and downloading and
configuring R Turn any machine into a powerful data analytics
platform accessible from anywhere with RStudio Server Write basic R
scripts and modify existing scripts to suit your own needs Create
basic HTML reports in R, inserting information as needed Build a
basic R package and distribute it Who This Book Is For Some prior
exposure to statistics, programming, and maybe SAS is recommended
but not required.
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