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STHDA is a web site for statistical data analysis and data visualization using R software. It provides many R programming tutorials easy to follow.

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Articles

• Courses
  • Machine Learning
• R
• R Programming
• Importing & Exporting Data
• Data Management
• Data Manipulation
• Data Visualization
  • R Graphics Essentials
  • ggpubr: Publication Ready Plots
  • Social Network Analysis
• Basic Statistics
• Principal Component Methods in R: Practical Guide
• Principal Component Methods: Videos
• Cluster Analysis in R: Practical Guide
  • Clustering Basics
  • Partitioning Clustering Essentials
  • Hierarchical Clustering Essentials
  • Cluster Validation Essentials
  • Advanced Clustering
• Machine Learning
  • Regression Analysis
  • Regression Model Diagnostics
  • Regression Model Validation
  • Model Selection Essentials in R
  • Classification Methods Essentials
  • Statistical Machine Learning Essentials
• Reporting
• Case studies
• Biostatistics
• Bioinformatics
• R packages
• Tips & Tricks
• Others
• R Conference
• Gallery

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Calendar

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Downloads

• eBooks

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F.A.Q

• R
  • factoextra
  • R Tips

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Gallery

• Test
• R Graphs

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Multimedia

• First video category

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News

• Test

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Newsletter

• Unsupervised Machine Learning by Examples in R
• Guide to Create Beautiful Graphics in R

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Pages

• Contribute to STHDA
• PHPBOOST Doc

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Web Links

• TutorialAdvisor
• CourseAdvisor
• BookAdvisor
• eBook
• shinyApp
• Most Viewed News
• Tools

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Wiki

• Genomics
  • Basic Bioconductor infrastructure
  • Genomic Toolkits
  • High-throughput Sequencing
  • Microarray data
  • R basics and exploratory data analysis
  • RNA sequencing
  • Visualizing next geration sequencing data
• R software
  • Cluster Analysis in R - Unsupervised machine learning
  • Data Manipulation in R
  • Data Visualization
    • 3D graphics
    • ggplot2 - Essentials
      • easyGgplot2
    • R Base Graphs
      • Graphical parameters
  • Factor analysis
  • Import and export data using R
    • Exporting Data From R
    • Importing Data Into R
  • Preparing and Reshaping Data in R for Easier Analyses
  • R Basic Statistics
    • Comparing Means in R
      • t test
    • Comparing Proportions in R
    • Comparing Variances in R
    • Correlation Analyses in R
    • statistical tables
  • R Basics: Quick and Easy
  • R packages
    • Factoextra R Package: Easy Multivariate Data Analyses and Elegant Visualization
    • survminer R package: Survival Data Analysis and Visualization
  • Survival Analysis
  • Text mining
• RQuery
  • Functions
  • Tutorials
• RSTHDA / R Web - Online statistic tools
• simplyR
• What is
  • statistics
    • Population

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