R Graph Essentials

A visual and practical approach to learning how to create statistical graphs using R
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  • Lectures 41
  • Length 2 hours
  • Skill Level All Levels
  • Languages English
  • Includes Lifetime access
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About This Course

Published 1/2015 English

Course Description

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.

About the Author

Ehsan Karim is a statistics Ph.D. candidate at the University of British Columbia. His current research interest is in the methods that deal with time-dependent confounding in longitudinal observational studies. Additionally, he is interested in software implementation of methods related to causal inference. He has been a user of R for more than 15 years, and has more than 5 years of experience in teaching various statistical software packages.

What are the requirements?

  • 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.

What am I going to get from this course?

  • 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

Who is the target audience?

  • The R software is freely available, yet drawing statistical graphs is one of its greatest strengths, eclipsing most commercial packages. The R Graph Essentials course is suitable for non-statistical and non-programmer viewers who are familiar with the basics of R and want to learn the best techniques and code to create graphics in R in the best way possible.

What you get with this course?

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30 day money back guarantee.

Forever yours.
Lifetime access.

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Desktop, iOS and Android.

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Certificate of completion.


Section 1: Introducing Plot Functions

Brief introduction to the course.


Produce an informative plot by adding various titles


Make the plot more informative and better looking by setting appropriate legends and margins


Include the necessary information, equations, and symbols in the plot


Make the plot look better


Save using the menu r command

Section 2: Further Control Over Plot Function

Use various arguments of plot functions


Use the layout or par function


Use the col argument


Use the lty or lwd argument in plot functions


Use various arguments in plot functions

Section 3: Plots for Categorical Variables

Plot a pie chart using the pie function


Plot a bar plot using the bar plot function


Plot a bar plot using the bar plot function


Use the paste and text functions


Plot a dot chart using the dot chart function

Section 4: Plots for Continuous Variables

Use the stem function and other packages


Use the hist function


Use the density functions


Use the boxplot functions


Use a formula in a boxplot function

Section 5: Bivariate Plots for Two Continuous Variables

Draw a scatter plot


Use the abline and jitter functions


Use the lm and associated functions


Use the subset command


Use the scatterMatrix function and other packages

Section 6: Time Series Plots

Use the plot function


Use the ts plot function and various packages such as zoo and forecast


Using the as Date function to convert to the date variable


Fit models using the lm, loess, or stl functions


Use the zoo package or use the Axis function

Section 7: Visualizing Contour Plots and Three-dimensional Plots

Use the image, contour, and filled.contour functions


Use the Lattice package


Use the base package functions for surface plotting


Use Lattice and the rgl package


Use the scatterplot3d and car packages

Section 8: Miscellaneous Topics

Use the maps and maptools packages


Use the iplots package


Use the Rcmdr package


Perform hierarchical cluster analysis on a set of dissimilarities in R


Install Rstudio and use it to perform R analyses

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Instructor Biography

Packt Publishing, Tech Knowledge in Motion

Packt has been committed to developer learning since 2004. A lot has changed in software since then - but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content - more than 4000 books and video courses -Packt's mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what's important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Packt Udemy courses continue this tradition, bringing you comprehensive yet concise video courses straight from the experts.

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