R Graph Essentials [Video]

R Graph Essentials [Video]

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Ehsan Karim

A visual and practical approach to learning how to create statistical graphs using R
$17.00
RRP $84.99

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Video Details

ISBN 139781782165460
Course Length1 hour 57 minutes

Video Description

R is a powerful tool for performing statistical analyses and drawing publication-quality graphics. This tool is ideal for organizing and graphing huge datasets. It also provides various techniques for plotting a variety of simple and more complex statistical graphs.

R Graph Essentials is a beginner’s course to learning about R graphics. This course will provide you with both a solid grounding in the so-called “base” graphics package in R as well as introducing elements from more sophisticated packages, such as lattice and ggplot2.

R Graph Essentials explains the basic functionality of R graphs in detail in order to familiarize you with how they work. The course starts with very basic R plot functions, first helping you to gain control of this function, then moving on towards various advanced plotting functions.

Different types of graphs are used to visualize different types of variables. The R Graph Essentials video course classifies these graphs and teaches them separately. This course is a compilation of tips and tricks related to the most efficient ways of drawing various types of graphs using basic R plotting functionality. Additionally, bivariate plots, time series, and high dimensional plots are also covered in this course. By the end of this course, you will be in a position to create your own ETL processes within a short amount of time.

The course offers a practical and interactive way to learn about R graphics, equipping you with the tools to draw informative statistical plots to effectively visualize your data.

Style and Approach

Packt video courses are designed to cover the breadth of the topic in short, hands-on, task-based videos. Each course is divided into short manageable sections, so you can watch the whole thing or jump to the bit you need. The focus is on practical instructions and screencasts showing you how to get the job done.

Follow carefully organized sequences of instructions that outline how to leverage the power of R in simple and easy to understand examples, helping you to improve your ability to create graphs. It offers a non-programmer’s approach to learn how to create R graphics. The level of complexity is suitable even for a non-statistician.

Table of Contents

Introducing Plot Functions
Introduction
Generating a Basic Plot with Titles
Putting Legends and Setting Margins
Putting Texts and Mathematical Expressions to the Plot
Symbols and Colors in the Plot
Saving the Plots in Various Formats
Further Control Over Plot Function
Controlling Axes and Boxes
Controlling Layouts and Splits
Controlling the Color of Plot Elements
Controlling Line Patterns and Width
Controlling Texts of Plot Elements
Plots for Categorical Variables
Pie Chart for One Variable
Bar Chart or Pareto Chart for One Variable
Bar Chart for More Than One Variable
Labeling the Pie and Bar Charts
Dot Charts
Plots for Continuous Variables
Stem-and-leaf Plots
Histogram, Comparison, and Handling Bins
Density, Rug Representation, and Overlay Plots
Boxplots and Parameters
Side-by-side Boxplots and Parameters
Bivariate Plots for Two Continuous Variables
Scatter Plot and Parameters
Adding Straight Lines and Jitter Points
Adding Model Summaries in the Plot
Sub-grouping in a Scatter Plot
Conditioning Plots
Time Series Plots
Plotting Basic Line Graphs Using a Function
Default Time Series Plots
Plotting Date and Time Variables
Plotting Trend
Setting Appropriate Time Axes
Visualizing Contour Plots and Three-dimensional Plots
Drawing Contour Plots in Base Package
Drawing Contour Plots in Lattice
Drawing Surfaceplot Using Base Graphics
Drawing Surfaceplot Using Lattice
Drawing an Interactive 3D Plot
Miscellaneous Topics
Creating Maps
Interactive Options
R Commander
Trees and Clustering
RStudio Interface for Graphics

What You Will Learn

  • Learn the essentials to create a basic R plot and then customize it to make it look professional
  • Plot categorical variables when one or more variables need to be visualized
  • Visually depict one or more continuous variables and compare them
  • Generate bivariate scatter plots, sub-group them based on conditions, and add regression and other statistical summaries in the plot
  • Visualize the trends and patterns of time series data
  • Create contour plots, surface plots, 3-dimensional scatter plots, and various multi-variate visual summaries
  • Build geographical maps and controlling plots using various R interfaces

Authors

Screenshots

Table of Contents

Introducing Plot Functions
Introduction
Generating a Basic Plot with Titles
Putting Legends and Setting Margins
Putting Texts and Mathematical Expressions to the Plot
Symbols and Colors in the Plot
Saving the Plots in Various Formats
Further Control Over Plot Function
Controlling Axes and Boxes
Controlling Layouts and Splits
Controlling the Color of Plot Elements
Controlling Line Patterns and Width
Controlling Texts of Plot Elements
Plots for Categorical Variables
Pie Chart for One Variable
Bar Chart or Pareto Chart for One Variable
Bar Chart for More Than One Variable
Labeling the Pie and Bar Charts
Dot Charts
Plots for Continuous Variables
Stem-and-leaf Plots
Histogram, Comparison, and Handling Bins
Density, Rug Representation, and Overlay Plots
Boxplots and Parameters
Side-by-side Boxplots and Parameters
Bivariate Plots for Two Continuous Variables
Scatter Plot and Parameters
Adding Straight Lines and Jitter Points
Adding Model Summaries in the Plot
Sub-grouping in a Scatter Plot
Conditioning Plots
Time Series Plots
Plotting Basic Line Graphs Using a Function
Default Time Series Plots
Plotting Date and Time Variables
Plotting Trend
Setting Appropriate Time Axes
Visualizing Contour Plots and Three-dimensional Plots
Drawing Contour Plots in Base Package
Drawing Contour Plots in Lattice
Drawing Surfaceplot Using Base Graphics
Drawing Surfaceplot Using Lattice
Drawing an Interactive 3D Plot
Miscellaneous Topics
Creating Maps
Interactive Options
R Commander
Trees and Clustering
RStudio Interface for Graphics

Video Details

ISBN 139781782165460
Course Length1 hour 57 minutes
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