The School of Nursing is excited to announce a “Series of R Workshops” to be held Spring 2016. These 4 workshops will be led by Melinda Higgins, Ph.D., associate research professor and senior biostatistician.
These 4 workshops will each be 2 hours long with a focus on hands-on learning using R and RStudio. These workshops will be introductory and provide skills necessary to begin to be comfortable working with R and RStudio performing data analysis and writing research reports. R is a wonderful programming language for Data Analysis, Graphics and much more.
“However, with great power comes great responsibility!”
R has a steep learning curve. It was not designed to have a point-and-click menu driven interface with canned procedures. Instead it is a rich language for data manipulation and analysis with statistical functions and methods embedded in its core. The rewards are definitely worth the effort. PLUS, IT IS FREE and is supported by literally hundreds of thousands of users and developers worldwide. No other widely-used software can make these claims.
The 4 workshops listed below will be held in the Nursing building room 112 from 10:00-11:50am on each date listed. More Information at http://tinyurl.com/jfwkau7
Four R Workshops and Projected Goals
2/17/2016 “Introduction to R, RStudio and Working in the R Environment”
- Goal 1: Be able to open and work with R and RStudio on your own computer (or one you have access to) – initial familiarization with R, RStudio interface and R Environment
- Goal 2: Initial understanding of what “packages” are, how to load them and use them
- Goal 3: Initial understanding of where and how to get help
2/19/2016 “Introductory Data Management, Statistical Analyses, and Graphics with R” — Register Now
- Goal 1: Further improvement of skills for working with R, the RStudio interface and configuring your R Environment
- Goal 2: Read data into and Save data and results out of R/RStudio
- Goal 3: Run simple statistical summaries and analyses and make simple plots
3/25/2016 “Reproducible Research with R (combining data + analysis + documentation seamlessly)
- Goal 1: Initial understanding of what Reproducible Research practices are and why they are important
- Goal 2: Initial understanding of RMarkdown and how to use it to create HTML, PDF or Microsoft WORD formatted reports
- Goal 3: Initial understanding of “cloud-based” repositories for interacting with and storing data, statistical results, and associated documentation.
4/22/2016 “Getting Started with Statistical Modeling with R”
- Goal 1: Initial understanding of primary data structures and objects within R
- Goal 2: Initial understanding of running descriptive univariate and bivariate statistics
- Goal 3: Initial understanding of simple statistical tests such as t-tests, chi-square tests and linear regression models
There is a video tutorial/how to for downloading R and RStudio and associated programs plus showing how to get these installed, running and configured for the R Workshop series this Spring (this is for Windows, but info is shown where to get the files for a mac as well). This video also includes a brief introduction to using RMarkdown for creating HTML, PDF and Word Documents where the report, code and all statistical analyses are performed in 1 step (a teaser if you will for workshop 3 which will focus on RMarkdown and the process of dynamic documentation and how that supports Reproducible Research).
The video tutorial is now posted YouTube at https://youtu.be/wvzSz2_iPew