Learn R programming: Recipes to simplify your statistical applications.

David Wilkins

$9.99 ~~$137.99~~

Video Aug 2017 1hr 29mins 1st Edition

David Wilkins

$9.99 ~~$137.99~~

Video Aug 2017 1hr 29mins 1st Edition

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Key benefits

Tackle programming problems and explore both functional and object-oriented programming techniques
Develop strategies to speed up your R code and become an expert in R programming in a practical manner
Address the core problems of programming in R with the most popular R packages for common tasks

Description

R is a high-level statistical language and is widely used among statisticians and data miners to develop statistical applications. This solution-based video will be your guide, taking you through different programming aspects with R. Beginning with the basics of R programming, this video provides step-by-step resources and time-saving methods to help you solve programming problems efficiently. Starting with the installation of R, each recipe addresses a specific problem with a discussion that explains the solution and offers insight into how it works. You will learn to work with powerful R tools and techniques. You’ll be able to boost your productivity with the most popular R packages and tackle data structures such as matrices, lists, and factors. You’ll see how to create vectors, handle variables, and perform other core functions. You’ll be able to tackle issues with data input/output and will learn to work with strings and dates. Moving forward, we’ll look into more advanced concepts such as metaprogramming with R and functional programming. Finally, you’ll learn to tackle issues while working with databases and data manipulation.

Who is this book for?

This course is for students, data science enthusiasts, and people who are looking for easy and handy solutions to common R problems. This course assumes some previous computer programming experience.

What you will learn

Write basic R code
Get to know the nuts and bolts of writing R in RStudio
Discover the basics of variable assignment and expression
Get a tour of the most important data structures in R
Find out how to create, edit, and subset data structures
Get to know a set of techniques for importing data, manipulating data, performing statistical analysis, and producing useful data syntheses

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