Difference between revisions of "SMHS Usage"
(→R Statistical Computing Software: added links to SWC) |
|||
| Line 22: | Line 22: | ||
===[http://www.r-project.org/ R Statistical Computing Software]=== | ===[http://www.r-project.org/ R Statistical Computing Software]=== | ||
* [[SMHS_Usage_Rfundamentals|Some R fundamentals]] | * [[SMHS_Usage_Rfundamentals|Some R fundamentals]] | ||
| + | * The SOftware Carpentry FOundation provides useful [http://swcarpentry.github.io/r-novice-inflammation Programming with R] and [http://swcarpentry.github.io/r-novice-gapminder R for Reproducible Scientific Analysis] materials. | ||
* [http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf A very gentle stats intro using R Book (Verzani)] | * [http://cran.r-project.org/doc/contrib/Verzani-SimpleR.pdf A very gentle stats intro using R Book (Verzani)] | ||
* [http://www.statmethods.net/index.html Quick-R examples] | * [http://www.statmethods.net/index.html Quick-R examples] | ||
Revision as of 14:58, 26 January 2017
Scientific Methods for Health Sciences - Learning and Instructional Usage
This Scientific Methods for Health Sciences EBook provides three types of instructional and learning materials:
- Datasets and natural driving motivational problems
- Mathematical techniques and modeling methodologies
- Applications with interactive graphical interfaces for statistical computing, data exploration and IT-blended instruction
Furthermore, all learning materials and instructional resources of this EBook are freely accessible via the Internet. This publication also includes multi-language support; at the bottom of any chapter, section or page, the reader may obtain a machine translation of all page content into a different language.
This EBook is not intended to be an one-book-fits-all-curricula textbook. Instructors that use the Scientific Methods for Health Sciences Ebook may customize some of the content, develop additional applications, discuss course-specific data, or even expand the materials as appropriate to their curricula.
The novelty of the Scientific Methods for Health Sciences EBook is derived from the fact that in the context of health sciences training, it integrates mathematical foundations, statistical concepts, interactive experiments, statistical computing resources, simulations, and tools for data analysis and visualization.
SOCR Help
The SMHS Ebook uses SOCR Tools and R for all examples, computational demonstrations, data analytics and visualization. The following links provide useful tutorials and help with both software environments:
R Statistical Computing Software
- Some R fundamentals
- The SOftware Carpentry FOundation provides useful Programming with R and R for Reproducible Scientific Analysis materials.
- A very gentle stats intro using R Book (Verzani)
- Quick-R examples
- R-tutor Introduction
- R project Intro
- UCLA ITS/IDRE R Resources
- SOCR Home page: http://www.socr.umich.edu
Translate this page:
