R is a language and environment for statistical computing, data analysis, and graphical representation. It provides a wide variety of statistical and graphical techniques, making it the primary choice for data scientists and statisticians worldwide.
Key Concepts
Vectorized operations
Data frames and tibbles
Tidyverse ecosystem
Statistical modeling
Data visualization with ggplot2
Common Use Cases
Statistical analysis
Data visualization
Machine learning research
Academic research
Bioinformatics
Best Practices
Use tidyverse for data manipulation
Document with roxygen2
Test with testthat
Use renv for dependency management
Resources
CRAN: cran.r-project.org
Tidyverse: tidyverse.org
Related Skills: data-science, statistics, machine-learning
1---2name: r-23description: R4---5# R67R is a language and environment for statistical computing, data analysis, and graphical representation. It provides a wide variety of statistical and graphical techniques, making it the primary choice for data scientists and statisticians worldwide.89## Key Concepts1011- Vectorized operations12- Data frames and tibbles13- Tidyverse ecosystem14- Statistical modeling15- Data visualization with ggplot21617## Common Use Cases1819- Statistical analysis20- Data visualization21- Machine learning research22- Academic research23- Bioinformatics2425## Best Practices2627- Use tidyverse for data manipulation28- Document with roxygen229- Test with testthat30- Use renv for dependency management3132## Resources3334- CRAN: cran.r-project.org35- Tidyverse: tidyverse.org36- Related Skills: data-science, statistics, machine-learning
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R It is listed under AI & ML on SkillMD.
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