Data Analysis and Visualization in R Using smplot2
Last Updated: 2024-04-26
Welcome!
This book (https://smin95.github.io/dataviz) guides the reader to be familiar with R, a programming language, for data visualization. It also introduces the R package smplot2, which aims to make the process of data visualization simple. This book was created entirely using RMarkdown for reproducibility. The secondary link of the e-book is: https://smin95.com/dataviz.
The old website (on smplot) can be accessed using this link (https://smin95.com/dataviz0).
References
Here is the only (and slightly outdated) reference for smplot2:
Seung Hyun Min, Jiawei Zhou. smplot: An R Package for Easy and Elegant Data Visualization (2021). Frontiers in Genetics, 12:802894. pdf
The codes of the figures in the report are here but these depend on smplot, not smplot2.
Here is the reference for the smCSF package (Chapters 13-16):
Seung Hyun Min, Alexandre Reynaud. Applying resampling and visualization methods in factor analysis to model human spatial vision (2024). Investigative Ophthalmology and Visual Science.
Installation of smplot2
As of April 2024, smplot2 is now part of the CRAN repository. Please install using install.packages()
for the most stable version.
install.packages('smplot2')
and install_github()
for the most updated version. I suggest that you download the most updated version.
install.packages('devtools)
devtools::install_github('smin95/smplot2',force = T)
Issues and contact
If you spot any mistakes in this online book, please pull-request on Github or email me seung.min@mail.mcgill.ca. If you find issues with the smplot2 package, please pull-request on Github.
License
This tutorial is under a Creative Commons Attribution 4.0 International License. I am the sole creator of smplot2.