The goal of this workshop is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give participants a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.
We'll meet in the breezeway bioinformatics training room (near the Zen garden) in Bar Harbor from 9am to 5pm each day on Thursday, February 16th and Friday, February 17th.
The goal of this workshop is to teach novice programmers to write modular code and best practices for using R for data analysis. R is commonly used in many scientific disciplines for statistical analysis. We find that many scientists who come to Software Carpentry workshops use R and want to learn more. The emphasis of these materials is to give participants a strong foundation in the fundamentals of R, and to teach best practices for scientific computing: breaking down analyses into modular units, task automation, and encapsulation. Note that this workshop will focus on teaching the fundamentals of the programming language R, and will not teach statistical analysis.
Please register here: https://smcclatchy.github.io/2017-02-16-barHarbor/
You can preview the lessons here: http://swcarpentry.github.io/r-novice-gapminder/
Please install R and RStudio on your laptop prior to arrival. https://cran.r-project.org/ https://www.rstudio.com/products/rstudio/download2/
We'll meet in the breezeway bioinformatics training room (near the Zen garden) in Bar Harbor from 9am to 5pm each day on Thursday, February 16th and Friday, February 17th.