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Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R
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This book describes how to create static and interactive three-dimension (3D) graphs. We provide also an R package named graph3d to easily build and customize, step by step, 3D graphs in R software.

You will find many examples of R codes and graphics in this document for visualizing a dataset in 3D space.

How this book is organized?

This book provides a complete guide for visualizing a data in 3 dimensions (3D) using R software. It contains 2 main parts and 7 chapters describing how to draw static and interactive 3D plots using R software.

  • The chapter 1 is about data preparation for 3D plot
  • In chapter 2, we describe how to create easily basic static 3D scatter plots. We provide R codes for changing: 1) main and axis titles; 2) the appearance of the plot (point colors, labels and shapes, legend position, …)
  • Chapter 3 presents how to create advanced static 3D plots including 3D scatter plots with confidence interval, 3D line plots, 3D texts, 3D barplots, 3D histograms and 3D arrows.
  • Chapter 4 describes the required package for drawing interactive 3D plots.
  • In chapter 5, we show how to transform easily an existing static 3D plot into aninteractive 3D plot.
  • Chapter 6 provides many examples of R codes for creating interactive 3D scatter plotswith 3D regression surfaces and concentration ellipsoids. We describe also how to exportthese graphs as png or pdf files.
  • Chapter 7 presents a complete guide to RGL 3D visualization device system. We provide also R codes for creating a movie from RGL 3D scene and for exporting plot into an interactive HTML web file.

Each chapter is organized as an independent quick start guide. This means that, you don’tneed to read the different chapters in sequence.


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Some examples of graphs, described in this book, are shown below:

Complete Guide to 3D Plots in RComplete Guide to 3D Plots in RComplete Guide to 3D Plots in RComplete Guide to 3D Plots in RComplete Guide to 3D Plots in RComplete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

Complete Guide to 3D Plots in R

About the author

Alboukadel Kassambara is a PhD in Bioinformatics and Cancer Biology. He works since many years on genomic data analysis and visualization. He created a bioinformatics tool named GenomicScape (www.genomicscape.com) which is an easy-to-use web tool for gene expression data analysis and visualization. He developed also a website called STHDA (Statistical Tools for High-throughput Data Analysis, www.sthda.com), which contains many tutorials on data analysis and visualization using R software and packages. He is the author of the R packages survminer (for analyzing and drawing survival curves), ggcorrplot (for drawing correlation matrix using ggplot2) and factoextra (to easily extract and visualize the results of multivariate analysis such PCA, CA, MCA and clustering).


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