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Writing great R code /
"Modern data analysis requires that you have two jobs: being a statistician and being a programmer. This is especially true with R, where pointing and clicking to analyze data is mostly not an option. Fortunately, the jump from "writing code like a statistician" to "being a stati...
| Clasificación: | Libro Electrónico |
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| Otros Autores: | |
| Formato: | Electrónico Video |
| Idioma: | Inglés |
| Publicado: |
[Place of publication not identified] :
O'Reilly Media,
2015.
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| Temas: | |
| Acceso en línea: | Texto completo (Requiere registro previo con correo institucional) |
| Sumario: | "Modern data analysis requires that you have two jobs: being a statistician and being a programmer. This is especially true with R, where pointing and clicking to analyze data is mostly not an option. Fortunately, the jump from "writing code like a statistician" to "being a statistical programmer" isn't that far. This webcast covers a few simple skills that will get you started, including: Writing stylish code. Finding bad functions with the sig package. Writing robust code with the assertive package. Testing your code with the testthat package.Documenting your code with the roxygen2 package."--Resource description page. |
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| Notas: | Title from title screen (viewed February 17, 2015). Date of publication taken from resource description page. |
| Descripción Física: | 1 online resource (1 streaming video file (0 hr., 59 min., 13 sec.)) : digital, sound, color. |