R Fast Track Guide - 86 Key Points Every Programmer from Other Languages Should Master
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- FormatePub
- ISBN8227272614
- EAN9798227272614
- Date de parution29/01/2025
- Protection num.pas de protection
- Infos supplémentairesepub
- ÉditeurBig Dog Books, LLC
Résumé
R is a powerful language for data analysis, statistical computing, and visualization. This book is designed for programmers from other languages who want to master R quickly and efficiently. It covers 86 key points that every multi-language programmer must know, providing concise explanations and practical examples. Learn R's unique features, such as 1-based indexing, vectors, data frames, factors, and logical values.
Understand essential functions, including apply family functions, subsetting data, and named arguments in functions. Discover the best practices for importing, exporting, and manipulating data using dplyr and ggplot2. Gain insights into RStudio, CRAN, and package management for a streamlined coding experience. By the end of this guide, you will have a strong foundation in R and be able to write efficient, clean, and effective code.
Perfect for programmers transitioning to R, data scientists, and analysts looking to enhance their skills.
Understand essential functions, including apply family functions, subsetting data, and named arguments in functions. Discover the best practices for importing, exporting, and manipulating data using dplyr and ggplot2. Gain insights into RStudio, CRAN, and package management for a streamlined coding experience. By the end of this guide, you will have a strong foundation in R and be able to write efficient, clean, and effective code.
Perfect for programmers transitioning to R, data scientists, and analysts looking to enhance their skills.
R is a powerful language for data analysis, statistical computing, and visualization. This book is designed for programmers from other languages who want to master R quickly and efficiently. It covers 86 key points that every multi-language programmer must know, providing concise explanations and practical examples. Learn R's unique features, such as 1-based indexing, vectors, data frames, factors, and logical values.
Understand essential functions, including apply family functions, subsetting data, and named arguments in functions. Discover the best practices for importing, exporting, and manipulating data using dplyr and ggplot2. Gain insights into RStudio, CRAN, and package management for a streamlined coding experience. By the end of this guide, you will have a strong foundation in R and be able to write efficient, clean, and effective code.
Perfect for programmers transitioning to R, data scientists, and analysts looking to enhance their skills.
Understand essential functions, including apply family functions, subsetting data, and named arguments in functions. Discover the best practices for importing, exporting, and manipulating data using dplyr and ggplot2. Gain insights into RStudio, CRAN, and package management for a streamlined coding experience. By the end of this guide, you will have a strong foundation in R and be able to write efficient, clean, and effective code.
Perfect for programmers transitioning to R, data scientists, and analysts looking to enhance their skills.
