As data science has increased in popularity over the last few years, the R statistical programming language has been right there with it as the go to data analysis tool for statisticians and data scientists. It has the same functions and capabilities as enterprise statistical analysis tools such as SAS, SPSS, and Stata with the additional advantages of being open source (free) and having the flexibility of a programming language.
This workshop will provide an introduction to the basics of working with R. You will learn how to use R to import data, manipulate it, view it graphically, and conduct some simple statistical analysis on it.
The price per attendee for this workshop is $100.
What to Bring:
- Your laptop with R installed (you can download it here)
- Basic mathematical operations and algebra
- Searching help menus
- Installing package libraries
- Importing data from package libraries, text files and Excel
- Data frames, matrices and other data types
- Indexing, column operators and data manipulation
- Pie charts, bar plots, box plots, histograms and basic graphing skills
- Student's T-test and other simple statistical tests
- Linear regression and ANOVA with the lm() command
- Writing .R source scripts
Jeff Skinner is a statistician working as a contractor at NIH/NIAID. He has taught courses on statistics software (R, JMP, SAS, SPSS, Prism, etc), basic statistics (regression, ANOVA, DOE, re-sampling tests, generalized linear models, survival) and microarray analysis since 2007.
For those that are driving to the workshop, make sure to give yourselves some extra time to find parking in the area. We recommend using http://www.parkme.com to see what parking options are available and at what rates. They have mobile apps as well.
For Apple: https://itunes.apple.com/us/app/parkme-parking-find-cheapest/id417605484
For Android: https://play.google.com/store/apps/details?id=com.parkme.consumer