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R Programming Notes

Comprehensive guide for learning and mastering R programming language, a powerful tool for statistical computing, data analysis, and visualization.

Pages

468

Format

PDF Document

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About this Course

R is a programming language and free software environment for statistical computing and graphics supported by the R Foundation for Statistical Computing. The R language is widely used among statisticians and data miners for developing statistical software and data analysis.

This comprehensive guide covers everything from R basics to advanced topics. You'll learn about data structures, programming concepts, statistical analysis, data visualization, machine learning, and more. The notes also cover popular R packages like ggplot2, dplyr, tidyr, caret, and others that make R a powerful tool for data science.

Whether you're a statistician, data scientist, or researcher looking to enhance your analytical capabilities, these notes provide a thorough reference for R programming and its applications in data analysis and visualization.

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What You'll Learn

R syntax, data types, and basic operations
Data manipulation and transformation
Statistical analysis and modeling
Data visualization with ggplot2 and other packages
R for machine learning and predictive analytics
Reporting and reproducible research with R Markdown
Working with databases and web data
Advanced R programming techniques and optimization