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Comprehensive Graphics Visualizations with R

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Comprehensive Graphics Visualizations with R, available at $39.99, has an average rating of 4, with 69 lectures, based on 74 reviews, and has 2065 subscribers.

You will learn about Learn how to create a wide range of elegant and stunning graphical visualizations using the base, lattice and ggplot graphics systems in R. Learn to use the R Commander interface to create a variety of 2D and 3D graphics using different data sets. Learn to apply all of these graphical capabilities to your own data by practicing with all of the supplied course videos R scripts and by completiing each of the five sets of exercises – one for each section of the course. This course is ideal for individuals who are Anyone who uses R software for any reason will benefit from this course, including beginning, intermediate and advanced R users. or Anyone who wants to learn R will benefit from this course. or The course is especially appropriate for graduate students and faculty who wish to learn a graphics software alternative to SPSS or SAS, as well as working data analytics professionals and other quantitative professionals. It is particularly useful for Anyone who uses R software for any reason will benefit from this course, including beginning, intermediate and advanced R users. or Anyone who wants to learn R will benefit from this course. or The course is especially appropriate for graduate students and faculty who wish to learn a graphics software alternative to SPSS or SAS, as well as working data analytics professionals and other quantitative professionals.

Enroll now: Comprehensive Graphics Visualizations with R

Summary

Title: Comprehensive Graphics Visualizations with R

Price: $39.99

Average Rating: 4

Number of Lectures: 69

Number of Published Lectures: 69

Number of Curriculum Items: 69

Number of Published Curriculum Objects: 69

Original Price: $84.99

Quality Status: approved

Status: Live

What You Will Learn

  • Learn how to create a wide range of elegant and stunning graphical visualizations using the base, lattice and ggplot graphics systems in R.
  • Learn to use the R Commander interface to create a variety of 2D and 3D graphics using different data sets.
  • Learn to apply all of these graphical capabilities to your own data by practicing with all of the supplied course videos R scripts and by completiing each of the five sets of exercises – one for each section of the course.

Who Should Attend

  • Anyone who uses R software for any reason will benefit from this course, including beginning, intermediate and advanced R users.
  • Anyone who wants to learn R will benefit from this course.
  • The course is especially appropriate for graduate students and faculty who wish to learn a graphics software alternative to SPSS or SAS, as well as working data analytics professionals and other quantitative professionals.

Target Audiences

  • Anyone who uses R software for any reason will benefit from this course, including beginning, intermediate and advanced R users.
  • Anyone who wants to learn R will benefit from this course.
  • The course is especially appropriate for graduate students and faculty who wish to learn a graphics software alternative to SPSS or SAS, as well as working data analytics professionals and other quantitative professionals.

Comprehensive Graphics with R is a thorough, comprehensive overview of each of three major graphics approaches in R: base, lattice, and ggplot. The course also demonstrates the use of the R Commander interface to create a variety of 2D and 3D graphics. Most of the course is engaged in live, “hands-on” demonstrations of creating a wide range of 2D and 3D plots and graphs using extensive scripts and data sets, all provided with the course materials. Adequate documentation including slides, exercises and exercise solutions are also provided. The course demonstrates (and uses) two of the most popular ‘front-ends’ to the R Console: R Commander and RStudio. We begin by exploring the range of graphics output available using both the R Commander and RStudio GUI interfaces to the R Console. The course then follows with a more in-depth examination of the graphics capabilities for each of the three main graphics systems, base, lattice, and ggplot.

This course is a ‘must see’ for anyone who will use R and wishes to get the most out of the stunning variety of graphical charts, plots, and even animations that are available. The R software was designed from the outset to be particularly strong in visualization and graphical capabilities. However, if you are unaware of the full range of these capabilities you are missing opportunities to apply this wide variety of rich, powerful graphics to your own work and research projects. Accordingly, this course is specifically designed to comprehensively demonstrate and explain the broad range of graphical outputs that are available with R.

Course Curriculum

Chapter 1: Orientation to Course and to R Graphics ("Pre-Session")

Lecture 1: Introduction to Comprehensive Graphics with R !

Lecture 2: A Word on the Course and the Materials

Lecture 3: One Last Word: Installing R Console, RStudio, and R Commander

Lecture 4: Agenda and Graphics Architecture Overview

Lecture 5: Plotting with R Commander (part 1)

Lecture 6: Plotting with R Commander (part 2)

Lecture 7: Plotting with R Commander (part 3)

Lecture 8: Scatterplot HH

Lecture 9: Scatterplot Matrix HH

Lecture 10: Plot of Means

Lecture 11: Strip Chart

Lecture 12: More Strip Chart

Lecture 13: 3D Plots

Chapter 2: DAY 1 Base Graphics Features compared to GGPlot

Lecture 1: Begin Base Graphics

Lecture 2: Begin ggplot Graphics as Compared to Base

Lecture 3: More Graphics Features

Lecture 4: Still More Graphics Features

Lecture 5: More on Plotting Characters

Lecture 6: More on Plotting and Features and an Exercise

Chapter 3: DAY 2 Continue with Base Graphics versus Ggplot

Lecture 1: Exercise Solution and More on Base Graphics

Lecture 2: More Base Features Compared to ggplot

Lecture 3: Adding Text to Plots (part 1)

Lecture 4: Adding Text to Plots (part 2)

Lecture 5: Adding Shapes to Plots Interactively (part 1)

Lecture 6: Adding Shapes to Plots Interactively (part 2)

Lecture 7: Adding Shapes to Plots Interactively (part 3)

Lecture 8: Adding Nonlinear Fits to Plots (part 1)

Lecture 9: Adding Nonlinear Fits to Plots (part 2)

Lecture 10: Adding Nonlinear Fits to Plots (part 3)

Lecture 11: Adding Nonlinear Fits to Plots (part 4)

Lecture 12: Adding Nonlinear Fits to Plots (part 5)

Lecture 13: Boxplots (part 1)

Lecture 14: Boxplots (part 2)

Lecture 15: Boxplots (part 3)

Lecture 16: Boxplots (part 4)

Lecture 17: Histograms

Lecture 18: Time Series and Piechart

Lecture 19: Stripchart and Pairs Plot

Chapter 4: DAY 3 Begin Lattice ("Trellis") Graphics

Lecture 1: Day 3 Introduction, Exercise Solution, and Shingles

Lecture 2: Shingles, Coplot and Interaction Plots

Lecture 3: Interaction and XYplots

Lecture 4: Box and Whiskers Plot and Design Plot

Lecture 5: Effects Sizes

Lecture 6: Bubble and Sunflower Plots

Lecture 7: Begin Trellis Graphics with Histogram

Lecture 8: Density Plot

Lecture 9: Begin Technical Overview of Lattice

Lecture 10: Update Oats Plot

Lecture 11: Continue Dotplots

Lecture 12: More Densityplots

Lecture 13: QQMath Plots

Lecture 14: More Bwplots

Lecture 15: Violin Plots

Lecture 16: Multiway Tables, More Barcharts and Dotplots

Lecture 17: Postdoc Barcharts

Lecture 18: More Dotplots

Chapter 5: DAY 4 More Trellis Graphics and More GGplot Graphics

Lecture 1: Day 4 Introduction and Titanic Data (part 1)

Lecture 2: More Titanic Data and Charts

Lecture 3: More Elaborate XYPlots

Lecture 4: Continue Elaborate XYPlots Earthquake Data

Lecture 5: Continue Elaborate XYPlots Earthquake Data

Lecture 6: Elaborate XYPlot with Shingles

Lecture 7: Continue Elaborate XYPlots

Lecture 8: Revisit ggplot2 (part 1)

Lecture 9: GGplot with Smooth Plots

Lecture 10: More GGplot Smooths

Lecture 11: More GGplot

Lecture 12: Different GGplots

Lecture 13: Still More GGplot Graphs and Charts

Instructors

Rating Distribution

  • 1 stars: 3 votes
  • 2 stars: 6 votes
  • 3 stars: 12 votes
  • 4 stars: 25 votes
  • 5 stars: 28 votes

Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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