simplyR
simplyR is a web space where we’ll be posting practical and easy guides for solving real important problems using R programming language.
As we aren’t fans of unnecessary complications, we’ll keep the content of our tutorials / R codes as simple as possible.
Many tutorials are coming soon.
Topics we love include:
- R programming
- Biostatistics
- Genomic data analysis
- Survival analysis
- Machine/statistical learning
- Data visualization
Samples of our recent publications, on R & Data Science, are:
- Correlation matrix : A quick start guide to analyze, format and visualize a correlation matrix using R software
- ggplot2 - Easy way to mix multiple graphs on the same page
- Bar Plots and Modern Alternatives
- Facilitating Exploratory Data Visualization: Application to TCGA Genomic Data
- Add P-values and Significance Levels to ggplots
- fastqcr: An R Package Facilitating Quality Controls of Sequencing Data for Large Numbers of Samples
- Factoextra R Package: Easy Multivariate Data Analyses and Elegant Visualization
- Survival Analysis
- Cluster Analysis
- R xlsx package : A quick start guide to manipulate Excel files in R
- See More…
If you want to contribute, read this: https://www.sthda.com/english/pages/contribute-to-sthda
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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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Articles contained by this category :
ggpubr: Create Easily Publication Ready Plots
Practical Guide to Principal Component Methods in R
Regression Analysis Essentials For Machine Learning
The Ultimate Guide To Partitioning Clustering