Aprende R con videos “GARANTIZADO”

Se trata de una serie de videos tutoriales que te enseñan a usar el software R, el cual es la alternativa más poderosa para realizar análisis estadísticos básicos y avanzados. Echenle un ojo a la pagina del proyecto R. El tutorial esta alojado en la pagina del USGS  de estados unidos pero nosotros ya bajamos todo para ti y te lo ponemos en un solo paquete con los libros necesarios y los ejercicios que se utilizan en el tutorial.

No olvides calificar nuestro contenido, solo así sabemos que el blog es útil para alguien.

 

Temario del tutorial
Topic 1
Tom's Notes
1. Getting started
• Making sure everyone can connect to the webinar
• Downloading and setting up R, Packages, R Commander and Rattle
• Setting defaults in Rprofile.site
We will start R during the next session.

Menu Approach
Topic 2
R Commander Menus
2. File, Edit and Data menus
• Importing data

Lab 1
Understanding data in R, simple data access in Rcmdr (and possibly rattle), simple data access via the command line.
Topic 3
R Commander & Rattle Menus
3. Graphics
No sessions Thanksgiving week - November 23-25
Topic 4
R Commander & Rattle Menus
4. Classical tests, Crawley (2007) Chapter 8
Lab 2
Data manipulation (long v. wide format, reshape, merge, subset); advanced data i/o (SQL databases & IRMA services?)

Topic 5
R Commander & Rattle Menus
5. Regression, Crawley (2007) Chapter 10
Topic 6
R Commander & Rattle Menus
6. Analysis of Variance and Covariance, Crawley (2007) Chapters 11 and 12
Lab 3
Data manipulation continued

Topic 7
R Commander & Rattle Menus
7. Statistical Modeling, Crawley (2007) Chapter 9
No sessions Christmas and New Year - December 21-30
Topic 8
R Commander & Rattle Menus
8. Generalized Linear Models, Count Data, and Count Data in Tables, Crawley (2007) Chapters 13, 14, and 15
Lab 4
Case Study 1, Vegetation Plot Data from Pipestone National Monument

Topic 9
R Commander & Rattle Menus
9. Proportion Data and Binary Response Variables, Crawley (2007) Chapters 16 and 17

Command Approach
Topic 10
10. Introduction to the R Language

Lab 5
More Data Manipulation

Topic 11
11. Introduction to R Graphics

Topic 12
12. Generalized Additive Models and Mixed-effects Models, Crawley (2007) Chapters 18, and 19

Topic 13
13. Non-linear Regression, Tree Methods, and Time Series Analysis, Crawley (2007) Chapters 20, 21 and 22

Lab 6
GRTS sample draws using spsurvey

Topic 14
14. Multivariate Statistics, and Spatial Statistics, Crawley (2007) Chapters 23 and 24

This completes the coverage of Crawley (2007). We will consult with participants on what to cover next. Possible special topics on an occasional basis.
Lab 7
Species Composition (ordination, classification)

Lab 8
Species Composition continued (ANOSIM, possibly WA calibration)
Links a la descarga
El paquete completo consta de 11 partes para descomprimir, descomprime el archivo Rwebinar.zip seleccionando el comando extraer aquí o extraer a Rwebinar de winzip u otro descompresor. Sin contraseñas.
Videos

Parte 1   Parte 2   Parte 3   Parte 4   Parte 5   Parte 6   Parte 7   Parte 8
Parte 9   Parte 10   Parte 11 
Libros
The R book

A Handbook of Statistical Analyses Using R