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Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.
Advanced R presents useful tools and techniques for attacking many types of R programming problems, helping you avoid mistakes and dead ends. With more than ten years of experience programming in R, the author illustrates the elegance, beauty, and flexibility at the heart of R.
Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: elegant graphics for data analysis.
Introduction. Foundations. Data structures. Subsetting. Vocabulary. Style guide. Functions. OO field guide. Environments. Debugging, condition handling, and defensive programming. Functional Programming. Functional programming. Functionals. Function operators. Computing on the Language. Non-standard evaluation. Expressions. Domain-specific languages. Performance. Performance. Optimising code. Memory. High performance functions with Rcpp. R's C interface.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 587 |
Inhalt: | Einband - flex.(Paperback) |
ISBN-13: | 9780815384571 |
ISBN-10: | 0815384572 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Wickham, Hadley |
Auflage: | 2. Auflage |
Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
Maße: | 233 x 157 x 38 mm |
Von/Mit: | Hadley Wickham |
Erscheinungsdatum: | 30.05.2019 |
Gewicht: | 1,046 kg |
Hadley Wickham is Chief Scientist at RStudio, an Adjunct Professor at Stanford University and the University of Auckland, and a member of the R Foundation. He is the lead developer of the tidyverse, a collection of R packages, including ggplot2 and dplyr, designed to support data science. He is also the author of R for Data Science (with Garrett Grolemund), R Packages, and ggplot2: elegant graphics for data analysis.
Introduction. Foundations. Data structures. Subsetting. Vocabulary. Style guide. Functions. OO field guide. Environments. Debugging, condition handling, and defensive programming. Functional Programming. Functional programming. Functionals. Function operators. Computing on the Language. Non-standard evaluation. Expressions. Domain-specific languages. Performance. Performance. Optimising code. Memory. High performance functions with Rcpp. R's C interface.
Erscheinungsjahr: | 2019 |
---|---|
Fachbereich: | Wahrscheinlichkeitstheorie |
Genre: | Mathematik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 587 |
Inhalt: | Einband - flex.(Paperback) |
ISBN-13: | 9780815384571 |
ISBN-10: | 0815384572 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: | Wickham, Hadley |
Auflage: | 2. Auflage |
Hersteller: |
Taylor & Francis
Chapman and Hall/CRC |
Maße: | 233 x 157 x 38 mm |
Von/Mit: | Hadley Wickham |
Erscheinungsdatum: | 30.05.2019 |
Gewicht: | 1,046 kg |