R Graph Essentials


R Graph Essentials. A visual and practical approach to learning how to create statistical graphs using R

85,00  10,00 

The name of this course is R Graph Essentials. The knowledge you will get with this indescribable online course is astonishing. A visual and practical approach to learning how to create statistical graphs using R.
Not only will you be able to deeply internalize the concepts, but also their application in different fields won’t ever be a problem. The instructor is Packt Publishing, one of the very best experts in this field.

Description of this course: R Graph Essentials

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 “cojín” 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.

Requirements of this course: R Graph Essentials

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 will you learn in this course: R Graph Essentials?

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

Target audience of this course: R Graph Essentials

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 emparentado with the basics of R and want to learn the best techniques and code to create graphics in R in the best way possible.