Nicholas Horton, Randall Pruim, and Danny Kaplan
eCOTS 2014
Plan for today:
Welcome: introductions and overview
Vignettes and related resources: guide to additional materials
Intro to RStudio: the basics
Less Volume, More Creativity: making R and RStudio more accessible to students and instructors
Plan for today (continued):
More modeling using mosaic: simplifying the ability to understand and interpret models
Resampling using mosaic: implementing randomization-based inference (bootstrap and permutation tests)
Additional RStudio topics: ways to facilitate development of materials
Feedback and discussion: please submit questions as they arise
Welcome to the “Effective Teaching using R, RStudio and the mosaic package” workshop. As we gather, please check out: http://mosaic-web.org/ecots2014/workshop/ for useful information related to the workshop. This has pointers to the RStudio server that you have access to, vignettes, and other information.
Please also open a browser window for: http://glimmer.rstudio.com/mosaic/Clickers/
If you want to follow along in RStudio, also open a browser window to: http://acc.calvin.edu:8787 (use the login and password provided earlier)
When questions arise, please submit them to the “Questions” box in the webinar software.
We wanted to start by acknowledging:
We wanted to start by acknowledging:
We wanted to start by acknowledging:
We've prepared a number of polling questions to get a sense of who you are.
Please open up a separate browser window at the following URL:
Project MOSAIC (http://www.mosaic-web.org) is an NSF funded initiative to create a community of educators to develop a new way to introduce mathematics, statistics, computation and modeling to students in colleges and universities (Kaplan PI)
Our goal: Provide a broader approach to quantitative studies that provides better support for work in science and technology. The focus of the project is to tie together better diverse aspects of quantitative work that students in science, technology, and engineering will need in their professional lives, but which are today usually taught in isolation, if at all.
The name MOSAIC reflects the first letters — M, S, C, C — of key components of a quantitative education:
To facilitate use of R and RStudio and the mosaic package for the teaching of statistics, we have created a number of online resources.
These can be found at the Vignettes link at http://cran.r-project.org/web/packages/mosaic (or see the workshop webpage at http://mosaic-web.org/ecots2014/workshop)
We welcome comments and suggestions for any of these materials (which are distributed under a Creative Commons Remix with Attribution License)
We will refer to these resources throughout the workshop.
Other materials may be useful for examples or working code snippets
We will be using data from the Health Evaluation and Linkage to Primary (HELP) care randomized clinical trial (RCT) throughout this workshop (and in some of the vignettes):
RStudio is available as a client or server (Linux based) interface. You have access to an RStudio server through Calvin College.
We find that this dramatically simplifies the use of RStudio in the first few weeks of a class.
Let's take a quick tour of the RStudio interface…
R (or its predecessor S) has been around for 30 years. Why do we now need the mosaic package?
R (or its predecessor S) has been around for 30 years. Why do we now need the mosaic package?
There are a number of ways to work in RStudio:
See Mine's presentation from Monday for more info (or read paper at http://escholarship.org/uc/item/90b2f5xh)
Improved support in the Preview release
Any questions? Please submit them as you think of them to the webinar software panel.