Multivariate Data Visualization with R
Multivariate Data Visualization with R

Multivariate Data Visualization with R

30,00 

Multivariate Data Visualization with R. Course describes and demonstrates a creative approach for constructing and drawing grid-based multivariate graphs in R

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Product Description

Multivariate Data Visualization with R. Course describes and demonstrates a creative approach for constructing and drawing grid-based multivariate graphs in R

Description of this course: Multivariate Data Visualization with R

Course Description It is often both useful and revealing to create visualizations, plots and graphs of the multivariate data that is the subject of one’s research project. Often, both pre-analysis and post-analysis visualizations can help one understand “what is going on in the data” in a way that looking at numerical summaries of fitted model estimates cannot. The lattice package in R is uniquely designed to graphically depict relationships in multivariate data sets.This course describes and demonstrates this creative approach for constructing and drawing grid-based multivariate graphic plots and figures using R. Lattice graphics are characterized as multi-variable (3, 4, 5 or more variables) plots that use conditioning and paneling. Consequently, it is a popular approach for, and a good fit to visually present the results of multi-variable statistical model fitting. The appearance of most of the plots, graphs and figures are determined by panel functions, rather than by the high-level graphics function calls themselves. Further, the user of lattice graphics has extensive and comprehensive control over many more of the details and features of the visual plots, far greater control that is afforded by the base graphics approach in R. The method is based on trellis graphics which were popularized in the S language developed by Bell Labs.

Requirements of this course: Multivariate Data Visualization with R

What are the requirements? Students will need to install R and RStudio (instructions are provided in the course materials).

What will you learn in this course: Multivariate Data Visualization with R?

What am I going to get from this course? Graphically depict visual 2D, 3D, 4D (and so on) relationships that exist in multivariate data sets. Understand how “trellis” graphic objects are different from other graphic objects in R. Understand how to apply the techniques of conditioning and paneling to present multivariate data relationships. Understand the nature of lattice panel functions and know how to create and modify them for brilliant multivariate graphics displays. Have a powerful visual toolset to visually present the results of multi-variable statistical model fitting.

Target audience of this course: Multivariate Data Visualization with R

Additional Information

Instructor

Geoffrey Hubona, Ph.D.

Lectures

32

Length

7

Skill Level

All Levels

Languages

English

Includes

Lifetime access
30 day money back guarantee!
Available on iOS and Android
Certificate of Completion

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