Análisis estadístico de diseños experimentales con apoyo computacional
This work seeks to implement the statistical analysis of experimental designs with computational support through the R Statistical software. For the respective analysis of these designs we will use the libraries ExpDes, easyanova, among others, which contain a large number of packages that will help...
- Autores:
-
Palencia Pretelt, Ana Maria
- Tipo de recurso:
- Trabajo de grado de pregrado
- Fecha de publicación:
- 2023
- Institución:
- Universidad de Córdoba
- Repositorio:
- Repositorio Institucional Unicórdoba
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.unicordoba.edu.co:ucordoba/7428
- Acceso en línea:
- https://repositorio.unicordoba.edu.co/handle/ucordoba/7428
- Palabra clave:
- Diseños experimentales
Entorno R
Blog
Experimental designs
R environment
Blog
- Rights
- openAccess
- License
- Copyright Universidad de Córdoba, 2023
| Summary: | This work seeks to implement the statistical analysis of experimental designs with computational support through the R Statistical software. For the respective analysis of these designs we will use the libraries ExpDes, easyanova, among others, which contain a large number of packages that will help us with the main objective of this work. With this computational implementation, several examples will be made, which will be reflected in a free access blog, so that all the community that needs this information can access it and can use it for the respective analysis of an experimental design that is presented to them in a real situation. |
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