Efficient R optimization
What you’ll learn—and how you can apply it You’ll learn how to optimize your tried and tested code. In this Lesson, learners will understand how to profile code to identify and prevent key bottlenecks in R performance, as well as tricks that may improve performance on row and column operations and m...
| Otros Autores: | , |
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| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
O'Reilly Media, Inc
2016.
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| Edición: | 1st edition |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631436406719 |
| Sumario: | What you’ll learn—and how you can apply it You’ll learn how to optimize your tried and tested code. In this Lesson, learners will understand how to profile code to identify and prevent key bottlenecks in R performance, as well as tricks that may improve performance on row and column operations and matrices. This Lesson also presents an example of specific improvements that can be made to enhance performance of the movie_square() function. This lesson is for you because You already have well-developed code that is mature conceptually and has been tried and tested. Now, you want to optimize this code. Prerequisites: Some knowledge of R and have well-developed R code Materials or downloads needed: Installed RStudio Some examples in this Lesson require a working C++ compiler |
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| Notas: | Date of publication from resource description page. "From Efficient R programming by Colin Gillespie & Robin Lovelace"--Cover. |
| Descripción Física: | 1 online resource (20 pages) |
| ISBN: | 9781491979518 |
