In the name of of Allah the Merciful

دانلود کتاب R 4 عملی: کاربرد R در دستکاری، پردازش و ادغام داده ها

Practical R 4: Applying R to Data Manipulation, Processing and Integration | Jon Westfall | ISBN: 1484259459, 978-1484259450, B08CCRH6MS

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سال انتشار: 2020

تعداد صفحات: 323

زبان فایل: انگلیسی

فرمت فایل: pdf

حجم فایل: 21MB

ناشر: Apress

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.