Difference between revisions of "SMHS Usage"
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* [http://www.r-project.org/ R] | * [http://www.r-project.org/ R] | ||
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** [http://www.r-tutor.com/r-introduction R-tutor Introduction] | ** [http://www.r-tutor.com/r-introduction R-tutor Introduction] | ||
** [http://cran.r-project.org/doc/manuals/r-release/R-intro.html R project Intro] | ** [http://cran.r-project.org/doc/manuals/r-release/R-intro.html R project Intro] | ||
Revision as of 21:34, 9 September 2014
Scientific Methods for Health Sciences - 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.
- All learning materials and instructional resources of this EBook are freely accessible via the Internet.
- This EBook provides a multi-language support. At the bottom of any chapter/section/page one, there may obtain a machine translation of the page content into a different language.
This EBook is not intended to be an one-book-fits-all-curricula textbook. Most instructors that use the Scientific Methods for Health Sciences Ebook may customize some of the content, develop additional applications, discuss course-specific data and 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 healths science training, it integrates mathematical foundations, statistical concepts, interactive experiments, statistical computing resources, simulations, and tools for data analysis and visualization.
Software 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:
> apropos("nova") # within R keyword search/help
- SOCR Home page: http://www.socr.umich.edu
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