R packages
In this section, you’ll find R packages developed by STHDA for easy data analyses.
factoextra let you extract and create ggplot2-based elegant visualizations of multivariate data analyse results, including PCA, CA, MCA, MFA, HMFA and clustering methods.
survminer provides functions for facilitating survival analysis and visualization.
Overview >>
survminer Site Link >>
Releases: v0.2.4 |
The default plots generated by ggplot2 requires some formatting before we can send them for publication. To customize a ggplot, the syntax is opaque and this raises the level of difficulty for researchers with no advanced R programming skills. ggpubr provides some easy-to-use functions for creating and customizing ‘ggplot2’- based publication ready plots.
Infos
This analysis has been performed using R software (ver. 3.3.2)
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Recommended for You!
Recommended for you
This section contains the best data science and self-development resources to help you on your path.
Books - Data Science
Our Books
- Practical Guide to Cluster Analysis in R by A. Kassambara (Datanovia)
- Practical Guide To Principal Component Methods in R by A. Kassambara (Datanovia)
- Machine Learning Essentials: Practical Guide in R by A. Kassambara (Datanovia)
- R Graphics Essentials for Great Data Visualization by A. Kassambara (Datanovia)
- GGPlot2 Essentials for Great Data Visualization in R by A. Kassambara (Datanovia)
- Network Analysis and Visualization in R by A. Kassambara (Datanovia)
- Practical Statistics in R for Comparing Groups: Numerical Variables by A. Kassambara (Datanovia)
- Inter-Rater Reliability Essentials: Practical Guide in R by A. Kassambara (Datanovia)
Others
- R for Data Science: Import, Tidy, Transform, Visualize, and Model Data by Hadley Wickham & Garrett Grolemund
- Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems by Aurelien Géron
- Practical Statistics for Data Scientists: 50 Essential Concepts by Peter Bruce & Andrew Bruce
- Hands-On Programming with R: Write Your Own Functions And Simulations by Garrett Grolemund & Hadley Wickham
- An Introduction to Statistical Learning: with Applications in R by Gareth James et al.
- Deep Learning with R by François Chollet & J.J. Allaire
- Deep Learning with Python by François Chollet
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Categories contained by this category :
Factoextra R Package: Easy Multivariate Data Analyses and Elegant Visualization
survminer R package: Survival Data Analysis and Visualization
Articles contained by this category :
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Bar Plots and Modern Alternatives
Facilitating Exploratory Data Visualization: Application to TCGA Genomic Data
ggpubr R Package: ggplot2-Based Publication Ready Plots