Advanced Tools and Techniques Beyond Base R [Video]

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Advanced Tools and Techniques Beyond Base R [Video]

Dr. David Wilkins

Explore functional and meta-programming and see it will simplify and fasten your data analysis code.
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Video Details

ISBN 139781788477871
Course Length2 hours and 14 minutes

Video Description

Advanced Tools and Techniques Beyond Base R introduces a number of recently developed R packages and paradigms, in particular the concept of tidy data and the Tidyverse collection of packages, which are rapidly becoming indispensable to R data analysts. You will learn how to efficiently process and analyze data in ways not possible with base R and produce high-quality statistical graphics. The course will finish with a taste of how functional programming and meta-programming with R can simplify and speed up your data analysis code.

Style and Approach

The course will take you through the different paradigms of the R language to enable you to produce high-quality statistical graphics and increase your efficiency in data analysis code.

Table of Contents

Tidying Data and Analyzing Tidy Data
The Course Overview
Understanding Tidy Data
Installing R Packages
Reading Data from Files with readr and readxl
idying Data with tidyr
Writing Code Pipelines with magrittr
Manipulating Strings with stringr
Manipulating Factors with forcats
Manipulating Dates and Times with Lubridate
Analyzing Data with dplyr and the split-apply-combine Strategy
Using ggplot2 to Draw Statistical Graphics
Understanding the Grammar of Graphics and ggplot2
Drawing Basic Plots and Scaling Plot Elements
Transforming Plot Data with Stats
Faceting Plots and Controlling Plot Themes and Labels
Writing Plots to File
Drawing Advanced Plots with ggplot2 Extensions
Creating Animated Plots with gganimate and tweenr - I
Creating Animated Plots with gganimate and tweenr - II
Writing Functional R
Writing an R Function
Understanding the lapply() Function
Using Function Composition in Data Analysis
Using Expressions and Metaprogramming for Advanced Function Composition

What You Will Learn

  • Working on recent R packages
  • Working with Tidyverse package collection
  • Produce high-quality statistical graphics
  • Use functional programming and meta-programming to fasten data analysis code

Authors

Table of Contents

Tidying Data and Analyzing Tidy Data
The Course Overview
Understanding Tidy Data
Installing R Packages
Reading Data from Files with readr and readxl
idying Data with tidyr
Writing Code Pipelines with magrittr
Manipulating Strings with stringr
Manipulating Factors with forcats
Manipulating Dates and Times with Lubridate
Analyzing Data with dplyr and the split-apply-combine Strategy
Using ggplot2 to Draw Statistical Graphics
Understanding the Grammar of Graphics and ggplot2
Drawing Basic Plots and Scaling Plot Elements
Transforming Plot Data with Stats
Faceting Plots and Controlling Plot Themes and Labels
Writing Plots to File
Drawing Advanced Plots with ggplot2 Extensions
Creating Animated Plots with gganimate and tweenr - I
Creating Animated Plots with gganimate and tweenr - II
Writing Functional R
Writing an R Function
Understanding the lapply() Function
Using Function Composition in Data Analysis
Using Expressions and Metaprogramming for Advanced Function Composition

Video Details

ISBN 139781788477871
Course Length2 hours and 14 minutes
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