This course is designed for participants who wish to gain beginning to intermediate skills in using R for manipulating, visualizing and analyzing their environmental data. R is a comprehensive statistical programming language that is cooperatively developed on the Internet as an open source project. This freely available statistical package R is a powerful tool and is projected to become the most widely used statistical software.
This class is taught using real-world environmental data sets and is hands-on using instructor-led examples. It is applicable to anyone that conducts environmental monitoring or uses environmental data for research, management, or policy-making and is recommended for anyone needing to become proficient with R basics. Being proficient in R will help participants be competitive in their chosen fields.
"Provided a solid foundation yet linkages to allow one to delve deeper into more advanced topics." C. Lynch, October 2013
"Very good introduction to R, gained familiarity with data types and data manipulation." B. McGuire, October, 2013
"Provided a lot of information covering how to do many things in R. the book will serve as a good tool using R in the future." P. Kusnierz, October, 2013
"There were excellent course materials. I will be using the manual as a reference for along time to come." T. Kantz, September, 2013
"Hands-on learning; great instructor who knows the subject and the data; excellent camaraderie among the students." T. Kahler, September, 2013
After completing this course attendees will be able to:
- Understand the uses of R for working with environmental data
- Installing R and R libraries
- Import and export data from a range of sources including Excel and Access
- Sorting, merging, and aggregating, subsetting, and converting data
- Query and display data and generate basic data summaries
- Create a variety of high quality data visualization graphics
- Perform common statistical tests including t-tests, ANOVA, and linear models
- Develop basic scripts to automate and document procedures and analyses
Please note that attendees will need to bring a laptop to class with the R software program. Instructions on how to download the program will be emailed out prior to the class. Instructor will also be available to help attendees with the download at the beginning of class if needed.
*Reduced tuition is available for Native American tribes, government employees, nonprofits, students and AFS, NAEP, NEBC, TAEP members.
You may register online or by calling the Northwest Environmental Training Center at (425) 270-3274. Online registration is strongly encouraged.
Please wait to receive a course confirmation email, roughly one month prior to the class, before making any travel arrangements.
This course is beneficial for anyone desiring to become proficient in the basics of data manipulation, high quality plotting and graphing, and data summary and statistical analyses using R; researchers, students, data analysts, etc.
Continuing Education Units: 1.30 CEUs
- Installing R and R libraries
- Reading and writing data (read(), write()) and viewing R data sets
- Creating new variables and recoding or renaming variables
- Manipulating data (order(), merge(), aggregate(), t(), which())
- Summarizing data (sapply(), summary(), table(), xtabs())
- Visualizing data (par(), plot(),hist(), points(), line(), barplot(), pie(), boxplot())
- Statistical analysis (cor(), t.test(), lm() and regression diagnostics)
- R programming basics (program control and user defined functions)
About the Instructor
Kevin Ceder is an Ecosystems Analyst with Cramer Fish Sciences. Kevin has 10 years experience using quantitative methods to support data-driven, integrated resource management, planning and assessment. He excels in developing tools that reduce complex processes to easy-to-use and easy-to-understand systems for decision-makers. Kevin has over 10 years of experience using R as his primary data management and analysis tool and excels in providing R programming solutions. He has provided R training and coaching to a diverse clientele.
With CFS, he is a lead environmental statistician, helping clients visualize the complex relationships between land management activities and the affected environment. Kevin's focus is on analysis and modeling of forest ecosystems to help stakeholders understand the influence management activities can have on terrestrial and aquatic habitat—and ultimately their influence on salmon and trout. He combines doctoral-level understanding of ecosystem processes with expert tool-building skills to lead the development of integrated mathematical simulation models.
Kevin offers expertise in numerous areas—growth, development and management of forest stands; ecosystem data compilation and analysis; forest and population simulation model development and use; ecosystem assessment model development and use; spatial analysis and cartography; and software development to create integrated tools.
Prior to joining Cramer, Kevin spent 15 years as a biometrician and was involved in many projects to evaluate the effects of forest growth and management on ecosystem outputs. Kevin provided simulations for numerous assessment projects in Washington and Oregon, evaluating everything from harvest volume and carbon sequestration to fire risk and wildlife habitat.
Kevin received his B.S. and M.S. degrees in forest management and silviculture from the University of Washington where he is currently a doctoral candidate in forest biometrics. He has worked for several research cooperatives to develop mathematical simulation models addressing growth and yield of young managed forests, wildlife habitat management, and wildfire risk assessment.
What to Bring
A laptop with the R software program. Pen or pencil to take notes and paper if you do not want to take notes in your manual. Drinks and snacks will be provided each day and lunch will be on your own.
In order to guarantee a space in a course, the tuition must be paid in full TWO WEEKS before the first day of the course by either check or credit card. State and government agencies paying with a purchase order are allowed payment under the two-week time frame if a copy of the purchase order is received by NWETC.
If You Need to Cancel
With 31 or more days notice, we will offer a 100% refund or credit towards a future course. The credit is good for one year and may be applied to any course.
- With 30-8 days notice, we will offer a course credit towards a future course. The credit is good for one year and may be applied to any course.
- With fewer than 8 days notice, there is no course credit available
*Please note that attendee replacement is welcome at any time
To request disability accommodations, please contact us at [email protected] or 425-270-3274 at least 30 days prior to the event.