R Statistical Programming Basics I

Overview: 
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)

Outline:
- 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 


Instructor:
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.


Other Info:
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

Join or login to comment.

  • Charles W.

    Very well done. Learned a lot, thanks to Jeff.

    October 21, 2013

  • Carolyn P.

    I had a very positive learning experience. I am ready to take the second, advanced, session. Jeff is clearly an experienced pro at this and I appreciate his insights.

    October 21, 2013

  • Dave S.

    Jeff did a great job!

    October 21, 2013

  • Vijay

    Would love to make the next one.

    October 18, 2013

  • Linus

    Can't make it this weekend, but would love to take the next one!

    October 17, 2013

  • Michelle R.

    Any prerequisites?

    Thanks.

    October 14, 2013

    • Jeff S.

      Hi Michelle. There are no prerequisites for the class. I will start with the some absolute basics like a brief history of R and some simple arithmetic, then work our way through customized graphics and basic statistical tests before I finish with some scripting examples.

      1 · October 14, 2013

  • Tudor A.

    Is there any chance that you will offer this workshop for Basics I and II any other weekend? I'd love to attend but I can't that weekend. Thanks,

    October 3, 2013

    • Tudor A.

      I would also be interested in attending a different weekend.

      October 8, 2013

    • Meagan

      I'd also be interested in this workshop on a different weekend.

      October 13, 2013

Your organizer's refund policy for R Statistical Programming Basics I

Refunds offered if:

  • the Meetup is cancelled
  • you can cancel at least 7 day(s) before the Meetup

Payments you make go to the organizer, not to Meetup. You must make refund requests to the organizer.

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